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I
J
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)
Vo
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9
,
No
.
3
,
J
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n
e
201
9
,
p
p
.
1630
~
1
6
3
6
I
SS
N:
2088
-
8708
,
DOI
: 1
0
.
1
1
5
9
1
/
i
j
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.
v
9
i
3
.
pp
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c
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re
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w
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b
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d
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s
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th
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NR,
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a
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.
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ro
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a
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it
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lu
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d
t
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th
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b
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d
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c
a
n
o
f
fe
rs sig
n
if
ic
a
n
t
re
su
lt
s th
a
n
S
W
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b
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se
d
CIM
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K
ey
w
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r
d
s
:
C
I
M
DC
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u
tili
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ti
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©
2
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In
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C
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p
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A
uth
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:
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ay
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Dep
ar
t
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t o
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lectr
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cs
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m
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n
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c
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I
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s
tit
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o
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en
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m
ail:
j
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1.
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NT
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D
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N
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h
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to
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ized
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v
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esear
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o
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ai
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o
f
co
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p
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ter
g
r
ap
h
ics,
v
is
io
n
a
n
d
i
m
a
g
e
p
r
o
ce
s
s
i
n
g
[
1
]
.
T
h
e
i
m
a
g
e
m
o
s
aicin
g
i
s
n
o
r
m
all
y
u
s
ed
to
f
ab
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icate
t
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ield
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a
'
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ld
is
al
w
a
y
s
less
th
a
n
h
u
m
a
n
v
ie
w
f
ield
[
2
]
.
Als
o
,
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ar
g
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o
b
j
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ts
o
f
te
n
ca
n
'
t
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in
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ae
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ial
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ap
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co
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ce
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f
o
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b
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ad
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s
a
k
in
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lu
tio
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b
u
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ill
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v
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m
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s
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t
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p
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ls
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tire
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w
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y
also
in
d
u
ce
i
m
ag
e
q
u
al
it
y
is
s
u
es
[
3
]
.
T
h
e
p
an
o
r
am
ic
i
m
ag
e
m
o
s
a
ics
ca
n
b
e
cr
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ted
b
y
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s
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n
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s
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ev
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lik
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R
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s
u
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ar
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u
n
d
t
h
e
ca
m
er
a
o
p
tical
co
r
e
in
ter
est
[
1
]
.
A
l
s
o
,
it
h
as
s
tr
o
n
g
i
m
p
er
ativ
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s
o
n
th
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m
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g
in
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itio
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s
.
T
h
u
s
,
to
o
v
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co
m
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th
i
s
,
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m
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ali
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t,
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m
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r
a
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ca
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b
e
u
s
ed
to
g
et
co
m
p
lete
v
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w
o
f
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a
g
e
[
4
]
.
T
h
e
m
i
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u
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co
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p
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x
m
o
s
ai
cs
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p
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a
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ag
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w
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m
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p
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t
i
s
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p
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m
a
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p
lace
tr
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s
latio
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.
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h
is
i
s
t
h
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ap
p
r
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x
i
m
ate
ca
s
e
w
h
ich
tak
e
s
p
lace
i
n
s
a
tellite
i
m
a
g
es
tr
an
s
lat
io
n
.
T
h
e
i
m
a
g
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tr
a
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s
lat
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ca
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e
it
h
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b
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h
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p
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s
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d
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m
o
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s
tr
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co
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esp
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ce
n
ter
s
o
r
b
y
an
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m
a
g
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co
r
r
elatio
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[
5
]
.
Oth
er
d
ir
ec
t
m
o
s
aics
ar
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g
e
n
er
ated
b
y
r
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tati
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g
th
e
ca
m
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a
at
its
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p
tical
co
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ce
n
tr
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b
y
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d
ev
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a
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d
g
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er
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a
p
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a
m
ic
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t
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d
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s
th
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s
ce
n
e
p
r
o
j
ec
tio
n
o
v
er
a
cy
l
in
d
er
.
B
u
t
is
q
u
ite
to
u
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tas
k
to
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clea
r
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m
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if
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,
n
o
is
e,
o
r
ien
tatio
n
,
alig
n
m
e
n
t
etc
[
5
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
P
erfo
r
ma
n
ce
a
n
a
lysi
s
o
n
co
lo
r
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g
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s
a
icin
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tech
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iq
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es
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n
F
P
GA
(
Ja
ya
la
xmi
H
)
1631
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[
5
]
.
Oth
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s
aics
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n
er
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b
y
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n
,
ali
g
n
m
en
t
etc
[
5
]
.
T
h
is
s
ec
tio
n
e
v
o
lv
e
s
w
it
h
t
h
e
d
is
c
u
s
s
io
n
o
n
e
x
i
s
ti
n
g
wo
r
k
s
o
n
i
m
ag
e
m
o
s
a
icin
g
te
ch
n
iq
u
es.
T
h
e
i
m
ag
e
m
o
s
aici
n
g
is
a
co
n
ce
p
t
o
f
co
m
b
i
n
i
n
g
t
w
o
o
r
m
o
r
e
im
a
g
e
a
n
d
f
o
r
m
s
asi
n
g
le
i
m
a
g
e
w
it
h
o
u
t
a
n
y
v
is
ib
le
s
ea
m
li
n
es.
A
s
u
r
v
e
y
w
o
r
k
o
n
i
m
ag
e
m
o
s
aici
n
g
is
p
er
f
o
r
m
ed
in
Gh
o
s
h
an
d
Kaa
b
o
u
ch
[
6
]
th
at
d
is
cu
s
s
ex
is
t
in
g
i
m
a
g
e
m
o
s
a
icin
g
al
g
o
r
ith
m
s
,
class
if
icatio
n
o
f
m
o
s
aicin
g
tech
n
iq
u
e,
s
tate
o
f
ar
t
in
cu
r
r
e
n
t
r
esear
c
h
tr
en
d
etc.
I
n
o
r
d
er
to
co
n
s
tr
u
c
t
th
e
m
o
s
aice
d
i
m
a
g
e
v
ar
io
u
s
alg
o
r
ith
m
s
an
d
tec
h
n
iq
u
e
s
wer
e
in
tr
o
d
u
ce
d
[
7
]
.
Mo
s
t
o
f
t
h
e
r
e
s
ea
r
ch
m
et
h
o
d
s
h
a
v
e
e
m
p
lo
y
ed
s
ig
n
i
f
ica
n
t
p
o
in
t
m
a
tch
i
n
g
tec
h
n
iq
u
es
an
d
co
r
n
er
d
etec
tio
n
m
o
d
el
s
[
8
]
.
An
i
n
ter
esti
n
g
wo
r
k
o
f
Z
a
g
r
o
u
b
a
et
al.
[
9
]
h
a
v
e
i
n
tr
o
d
u
ce
d
Har
r
is
p
o
in
ts
p
r
i
m
iti
v
es
[
1
0
]
an
d
r
eg
io
n
s
b
a
s
ed
i
m
a
g
e
m
o
s
aic
in
g
co
n
ce
p
t
w
h
ic
h
h
elp
s
to
i
m
p
r
o
v
e
th
e
m
o
s
a
icin
g
p
er
f
o
r
m
an
c
e
ag
ai
n
s
t
th
e
is
s
u
e
s
lik
e
i
llu
m
i
n
atio
n
v
ar
iatio
n
,
b
r
ig
h
tn
e
s
s
,
n
o
is
e
e
tc.
I
n
th
e
w
o
r
k
o
f
Z
h
u
a
n
d
R
e
n
[
1
1
]
Scal
e
I
n
v
ar
ia
n
t
Feat
u
r
e
T
r
an
s
f
o
r
m
(
SIFT
)
[
1
2
]
b
ased
i
m
a
g
e
m
o
s
aic
in
g
m
eth
o
d
i
s
illu
s
tr
ated
.
P
r
im
ar
il
y
,
th
e
m
et
h
o
d
u
s
es
o
p
er
ato
r
f
r
o
m
Har
r
is
co
r
n
er
d
etec
tio
n
[
1
3
]
an
d
d
etec
ts
th
e
k
e
y
p
o
in
ts
.
T
h
e
n
co
n
s
tr
u
ct
s
d
ir
ec
ted
lin
e
s
e
g
m
en
ts
f
o
r
r
o
u
g
h
p
o
i
n
t
m
a
tch
i
n
g
.
T
h
e
f
i
n
al
o
u
tco
m
es
o
f
th
e
m
et
h
o
d
s
u
g
g
e
s
t
it
s
r
o
b
u
s
t
n
ess
a
g
ai
n
s
t
r
o
tatio
n
,
s
ca
l
in
g
,
r
eso
lu
tio
n
an
d
li
g
h
ti
n
g
is
s
u
e
s
.
T
h
e
w
o
r
k
o
f
E
lib
o
l
et
a
l.
[
1
4
]
h
as
i
n
tr
o
d
u
ce
d
u
n
d
er
w
ater
i
m
ag
e
m
o
s
aici
n
g
b
y
u
s
i
n
g
s
u
b
m
ap
p
in
g
.
T
h
i
s
ap
p
r
o
ac
h
u
t
ilizes
a
m
o
d
i
f
ied
a
g
g
l
o
m
er
at
iv
e
clu
s
ter
in
g
(
h
ier
ar
ch
ical)
m
ec
h
an
is
m
to
f
o
r
m
th
e
s
u
b
m
ap
s
b
ased
o
n
s
i
m
ilar
it
y
a
m
o
n
g
th
e
f
ea
tu
r
e
m
atc
h
i
n
g
a
m
o
n
g
t
h
e
i
m
a
g
e
w
h
ic
h
r
ed
u
ce
s
co
m
p
u
tatio
n
al
co
s
t.
T
h
e
r
ea
l
ti
m
e
i
m
ag
e
m
o
s
aici
n
g
is
i
n
t
r
o
d
u
ce
d
in
Kek
ec
et
al.
[
1
5
]
f
o
r
ae
r
ial
i
m
ag
e
s
.
B
y
J
az
ir
i
[
1
6
]
th
e
al
g
o
r
ith
m
h
as
b
ee
n
d
ev
elo
p
ed
b
y
u
s
i
n
g
a
lo
w
-
co
s
t
FP
G
A
.
T
h
is
r
esear
ch
s
tu
d
y
al
s
o
p
r
esen
ted
a
ca
p
ab
le
d
esig
n
m
eth
o
d
o
lo
g
y
w
h
ic
h
p
r
o
v
id
es
b
en
ef
its
o
f
s
i
g
n
i
f
ican
t
d
esi
g
n
.
T
h
e
m
aj
o
r
b
en
ef
its
s
h
o
w
t
h
e
r
e
-
co
n
f
ig
u
r
ab
le
h
ar
d
w
ar
e
m
o
d
u
les
f
o
r
th
e
elec
tr
ical
m
et
h
o
d
s
.
T
h
e
o
u
tco
m
es
s
h
o
w
ed
t
h
e
m
o
d
el
p
latf
o
r
m
t
h
at
p
r
esen
t
s
t
h
e
ef
f
ec
tiv
e
n
e
s
s
a
n
d
t
h
e
p
r
o
f
it
s
o
f
th
e
p
r
o
p
o
s
ed
v
ie
w
p
o
i
n
t.
R
aj
en
d
r
an
a
n
d
Dev
ar
aj
an
[
1
7
]
h
av
e
d
ev
elo
p
ed
a
n
e
w
ap
p
r
o
ac
h
to
d
esig
n
o
f
a
h
i
g
h
-
p
er
f
o
r
m
an
ce
to
r
q
u
e
co
n
tr
o
l
tech
n
iq
u
e
.
T
h
is
s
tu
d
y
also
f
o
c
u
s
ed
o
n
d
ir
ec
t
to
r
q
u
e
co
n
tr
o
l
w
it
h
s
p
ac
e
v
ec
to
r
m
o
d
u
latio
n
o
f
t
h
r
ee
p
h
ase
in
tr
o
d
u
cti
on
m
o
to
r
b
y
u
s
in
g
FP
G
A
.
I
s
m
ae
l
et
al.
[
1
8
]
h
av
e
p
r
esen
ted
a
v
ie
w
p
o
in
t
to
p
r
ese
n
t
t
h
e
B
r
esen
h
a
m
alg
o
r
it
h
m
b
y
u
s
in
g
s
ep
ar
ati
n
g
e
v
er
y
li
n
e
in
to
n
u
m
b
er
o
f
s
ec
tio
n
s
.
T
h
e
o
u
tco
m
e
s
h
o
w
s
th
e
m
a
x
i
m
u
m
n
u
m
b
er
o
f
s
eg
m
e
n
ts
p
r
esen
ted
,
a
n
d
p
o
in
ts
ar
e
ca
lcu
lated
.
I
n
th
i
s
a
x
is
th
eo
r
e
m
i
s
u
tili
ze
d
to
i
d
en
tify
th
e
i
m
ag
e
in
ter
s
ec
tio
n
an
d
af
f
i
n
e
r
ef
i
n
e
m
en
t
m
ec
h
an
is
m
to
ex
tr
ac
t
ex
ac
t
g
lo
b
al
co
n
s
is
te
n
c
y
.
T
h
e
f
in
al
o
u
tco
m
e
s
o
f
t
h
e
m
et
h
o
d
g
i
v
e
t
h
e
p
r
o
m
is
i
n
g
r
esu
lt
s
i
n
o
b
tain
i
n
g
t
h
e
b
etter
r
esu
lt
s
o
f
m
o
s
a
icin
g
.
Fro
m
t
h
e
r
ev
ie
w
a
n
al
y
s
i
s
it
i
s
f
o
u
n
d
th
at
v
er
y
r
ar
e
r
esear
ch
es
w
er
e
co
n
s
id
er
ed
th
e
alig
n
m
en
t
is
s
u
e
s
,
i
m
a
g
e
q
u
alit
y
a
n
d
r
eso
lu
tio
n
i
s
s
u
es,
m
an
u
al
r
eg
i
s
tr
atio
n
a
n
d
al
s
o
v
er
y
less
r
ea
l
ti
m
e
i
m
p
le
m
e
n
t
atio
n
i
s
p
er
f
o
r
m
ed
f
o
r
m
o
s
aic
in
g
.
T
h
e
f
o
llo
w
i
n
g
s
ec
tio
n
g
iv
e
s
th
e
i
s
s
u
es
w
h
ic
h
ar
e
co
n
s
id
er
ed
in
th
is
r
esear
c
h
.
R
ec
en
t
l
y
,
m
o
s
t
o
f
th
e
tec
h
n
i
q
u
es
w
er
e
o
f
f
er
ed
to
b
u
ild
t
h
e
m
o
s
aice
d
i
m
a
g
e
u
n
d
er
h
o
m
o
g
r
ap
h
y
v
ar
iatio
n
s
i
n
t
h
e
i
m
a
g
e.
I
f
t
h
e
o
v
er
lap
p
in
g
a
m
o
n
g
th
e
t
w
o
i
m
ag
e
s
i
s
h
ig
h
m
o
s
aic
in
g
m
a
y
g
i
v
e
g
o
o
d
r
esu
lts
(
th
r
o
u
g
h
L
e
v
e
n
b
er
g
Ma
r
q
u
ar
d
t
ap
p
r
o
ac
h
[
1
9
]
)
b
u
t
y
ie
ld
s
s
en
s
iti
v
e
a
g
ain
s
t
lo
ca
l
m
in
i
m
a
an
d
ca
u
s
es
h
ig
h
er
co
m
p
u
tatio
n
al
co
m
p
le
x
it
y
.
Si
m
ilar
l
y
,
i
f
th
e
o
v
er
lap
p
in
g
a
m
o
n
g
t
h
e
t
w
o
i
m
a
g
es
i
s
lo
w
,
t
h
e
h
ier
ar
ch
ical
m
atc
h
in
g
ca
n
b
r
in
g
s
i
g
n
if
ican
t
r
esu
lts
to
av
o
id
lo
ca
l
m
i
n
i
m
a.
Fo
r
th
e
im
a
g
es
w
i
th
i
m
p
r
o
p
er
alig
n
m
en
t
w
it
h
cr
o
s
s
co
r
r
elatio
n
ap
p
r
o
ac
h
an
d
f
ac
es
is
s
u
es
w
it
h
i
m
a
g
e
b
r
ig
h
t
n
e
s
s
v
ar
iatio
n
.
A
l
s
o
,
v
er
y
r
ar
e
r
esear
ch
es
w
er
e
o
b
s
er
v
ed
f
o
r
i
m
a
g
e
m
o
s
aici
n
g
w
it
h
h
ar
d
w
ar
e
i
m
p
le
m
e
n
tatio
n
to
co
v
er
t
h
e
i
m
a
g
e
o
v
er
lap
p
in
g
.
T
h
e
m
o
s
aice
d
i
m
a
g
es
n
ee
d
to
b
e
alig
n
ed
p
r
o
p
er
ly
w
it
h
p
r
o
p
er
m
o
s
aicin
g
alg
o
r
ith
m
s
.
T
h
is
p
ap
er
co
n
s
id
er
s
th
e
co
r
r
elatio
n
p
r
o
b
lem
o
r
alig
n
m
e
n
t
p
r
o
b
le
m
,
i
m
a
g
e
q
u
alit
y
an
d
r
eso
lu
tio
n
is
s
u
e
s
d
u
r
in
g
i
m
ag
e
m
o
s
aici
n
g
.
A
l
s
o
,
th
e
m
an
u
al
i
m
a
g
e
r
e
g
i
s
tr
atio
n
a
n
d
r
ea
l
-
ti
m
e
i
m
p
le
m
en
tatio
n
o
f
m
o
s
aic
in
g
al
g
o
r
ith
m
is
co
n
s
id
er
ed
.
I
n
th
at
s
e
n
s
e,
t
w
o
d
if
f
er
e
n
t
ap
p
r
o
ac
h
es
o
f
i
m
a
g
e
m
o
s
ai
cin
g
ar
e
in
tr
o
d
u
ce
d
w
h
ich
i
m
p
le
m
e
n
t
s
Sli
d
i
n
g
W
in
d
o
w
Mo
d
u
le
a
n
d
Dis
cr
et
e
C
o
s
in
e
T
r
an
s
f
o
r
m
s
ep
ar
atel
y
to
p
er
f
o
r
m
a
u
to
m
atic
i
m
a
g
e
r
eg
i
s
tr
atio
n
a
n
d
alig
n
m
e
n
t i
s
s
u
es r
esp
ec
ti
v
el
y
.
2.
P
RO
P
O
SE
D
I
M
AG
E
M
O
SAI
CUN
G
SY
ST
E
M
T
h
is
s
ec
tio
n
g
iv
e
s
th
e
d
esi
g
n
o
f
(
a)
SW
M
b
ased
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r
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m
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er
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u
to
m
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DC
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ased
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g
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m
o
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k
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m
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g
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n
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e
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t i
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es.
2
.
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SW
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CIM
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o
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t
w
o
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lo
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m
ag
e
s
(
1
&
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)
an
d
p
ar
allell
y
b
o
th
t
h
e
i
m
a
g
es
w
i
ll
b
e
s
u
b
j
ec
ted
to
SW
M
tech
n
iq
u
e.
E
ac
h
co
lo
r
i
m
a
g
es
w
i
ll
h
a
v
e
r
ed
(
r
)
,
g
r
ee
n
(
g
)
,
an
d
b
l
u
e
(
b
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
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&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
3
,
J
u
n
e
201
9
:
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6
3
0
-
1
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3
6
1632
co
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cted
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h
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e
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n
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s
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te
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s
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d
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o
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m
i
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e
3
x
3
w
in
d
o
w
.
On
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th
e
w
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n
d
o
w
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s
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o
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ed
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o
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v
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tio
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eth
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is
ap
p
lied
u
s
i
n
g
Gau
s
s
ia
n
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i
lter
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g
m
e
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.
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h
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lu
tio
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et
h
o
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cl
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d
es
b
o
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h
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h
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o
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izo
n
tal
a
n
d
v
er
tica
l
m
atr
ix
co
m
p
o
n
en
ts
.
Af
ter
th
at
g
r
ad
ie
n
t
m
o
d
u
le
co
llect
s
t
h
e
g
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ad
ien
ts
f
r
o
m
co
n
v
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ted
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m
ag
e
an
d
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r
n
er
d
etec
tio
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is
p
er
f
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r
m
ed
.
On
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th
e
co
r
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etec
tio
n
is
co
m
p
leted
f
o
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th
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m
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g
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th
e
r
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g
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p
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ts
o
f
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o
th
t
h
e
i
m
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g
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ill
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e
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te
g
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ted
to
f
o
r
m
t
h
e
m
o
s
aice
d
i
m
a
g
e.
T
h
e
ar
ch
itectu
r
e
o
f
SW
M
b
ase
d
C
I
M
is
g
i
v
en
i
n
Fi
g
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r
e
1.
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r
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g
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n
a
l
C
o
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m
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g
e
1
R
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r
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n
t
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g
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M
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r
a
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M
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O
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r
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w
m
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r
a
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t
M
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D
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n
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e
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r
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p
o
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n
t
s
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m
a
g
e
M
o
s
a
i
c
Fig
u
r
e
1
.
No
v
el
ar
ch
itect
u
r
e
f
o
r
th
e
s
lid
in
g
w
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o
w
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ased
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m
ag
e
m
o
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aic
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g
T
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o
llo
w
in
g
Fi
g
u
r
e
2
s
h
o
ws
t
h
e
i
n
ter
n
al
ar
ch
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tectu
r
e
o
f
th
e
C
I
M
u
s
i
n
g
SW
M.
T
h
e
ar
ch
itect
u
r
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co
n
tain
s
s
ix
Ma
i
n
Sli
d
in
g
W
in
d
o
w
(
M
SW
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d
th
r
ee
in
d
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al
co
r
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er
d
etec
tio
n
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o
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el
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er
ate
co
m
p
o
n
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n
t
s
r
,
g
,
a
n
d
b
o
f
m
o
s
aice
d
co
lo
r
i
m
ag
e.
Her
e,
t
h
e
8
-
b
it
r
,
g
,
b
co
m
p
o
n
en
ts
o
f
b
o
th
t
h
e
i
m
a
g
es
(
1
an
d
2
)
ar
e
s
u
b
j
ec
ted
to
MS
W
m
o
d
u
le.
Fu
r
t
h
er
,
t
h
e
o
u
tp
u
ts
o
f
r
,
g
,
an
d
b
co
m
p
o
n
en
ts
f
r
o
m
MSW
m
o
d
u
le
w
il
l
b
e
g
iv
e
n
to
co
r
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er
d
etec
t
io
n
(
co
r
n
er
r
,
co
r
n
er
g
an
d
c
o
r
n
er
b
)
m
o
d
u
le
as
r
,
g
,
b
co
m
p
o
n
en
ts
s
ep
ar
atel
y
.
T
h
e
co
r
n
er
m
atch
in
g
h
elp
s
to
tak
e
a
s
m
all
p
i
x
el’
s
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e
g
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s
a
w
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d
o
w
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r
o
m
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h
e
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etec
ted
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o
r
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er
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d
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m
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ar
e
it
f
o
r
s
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m
e
r
e
g
io
n
w
it
h
e
v
er
y
c
o
r
n
er
f
ea
tu
r
es
i
n
t
h
e
o
th
er
i
m
ag
e.
T
h
e
ex
tr
ac
ted
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r
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s
f
r
o
m
ea
ch
w
i
n
d
o
w
ar
e
f
ed
to
th
e
I
m
ag
e
tr
a
n
s
f
o
r
m
ati
o
n
m
o
d
u
le.
T
w
o
s
ets
o
f
co
r
n
er
v
alu
es
i
n
th
e
i
m
a
g
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h
a
v
e
b
ee
n
d
etec
ted
u
s
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g
co
r
n
er
m
o
d
u
le.
T
h
e
co
n
v
o
lu
te
d
d
er
iv
ativ
es
ar
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f
ed
as
in
p
u
t
to
th
e
n
ex
t
m
o
d
u
le
to
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m
p
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te
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ch
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m
ag
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co
r
n
e
r
v
alu
e
s
f
r
o
m
th
e
t
w
o
i
m
a
g
es
b
ein
g
m
o
s
a
iced
.
T
h
e
ch
o
ice
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f
co
r
n
er
f
o
r
f
ea
tu
r
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d
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tio
n
i
s
s
tab
le
w
h
en
co
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n
er
is
g
r
ea
ter
th
a
n
1
.
On
ce
th
e
t
wo
s
ets
o
f
co
r
n
er
v
alu
e
s
in
t
h
e
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m
ag
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a
v
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ee
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e
ai
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is
to
m
atc
h
th
e
co
r
r
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n
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g
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th
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M
S
W
r
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b
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r
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F
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h
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Fig
u
r
e
2
.
I
n
ter
n
al
ar
ch
itec
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r
e
o
f
C
I
M
u
s
in
g
SW
M
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
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&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
P
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ma
n
ce
a
n
a
lysi
s
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n
co
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e
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tech
n
iq
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F
P
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(
Ja
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1633
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w
1
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2
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3
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4
8
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5
8
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6
8
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7
8
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9
8
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g
1
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2
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3
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4
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6
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P
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Fig
u
r
e
3
.
I
n
ter
n
al
Str
u
ctu
r
e
o
f
Ma
in
Sl
id
in
g
w
i
n
d
o
w
(
MSW
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m
o
d
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le
T
h
e
in
ter
n
a
l
s
tr
u
ct
u
r
e
o
f
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W
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d
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h
o
w
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in
Fi
g
u
r
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3
,
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ic
h
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n
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i
s
ts
o
f
th
r
ee
m
o
d
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les
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e
SW
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o
n
v
o
lu
tio
n
Mo
d
u
le
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an
d
Gr
ad
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t
Mo
d
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le
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M)
.
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ce
t
h
e
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ate
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as
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n
ch
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s
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g
n
al
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e
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i
g
h
alo
n
g
w
it
h
v
alid
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s
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g
n
al=
1
(
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ig
h
)
.
T
h
e
8
-
b
it
p
ix
e
l_
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i
s
th
e
in
p
u
t
o
f
th
e
co
lo
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f
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o
f
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r
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ts
.
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-
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t
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s
e
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ased
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ck
s
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n
d
it
w
ill
s
to
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h
e
m
e
m
o
r
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tio
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.
T
h
e
s
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ed
p
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els
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ea
te
it
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n
eig
h
b
o
r
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g
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ix
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s
to
f
o
r
m
a
SW
M
m
o
d
u
le.
E
ac
h
w
i
n
d
o
w
m
o
d
u
le
is
h
a
v
i
n
g
3
x
3
m
atr
ix
es;
h
en
ce
n
in
e
d
i
f
f
er
e
n
t
8
b
it
w
i
n
d
o
w
m
o
d
u
les
(
W
1
-
W
9
)
a
r
e
g
en
er
ated
.
T
h
ese
n
in
e
d
if
f
er
e
n
t
w
in
d
o
w
m
o
d
u
les
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e
co
n
v
o
l
u
ted
u
s
in
g
Gau
s
s
ia
n
f
i
lter
in
g
w
it
h
h
o
r
i
zo
n
tal
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d
v
er
tical
m
atr
i
x
.
Fi
n
all
y
,
it
g
e
n
er
ates
g
r
ad
ien
ts
(
g
1
to
g
9
)
.
T
h
e
g
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ad
ie
n
t
m
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d
u
le
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llect
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h
e
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e
n
in
e
g
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ie
n
t
i
n
p
u
t
s
to
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u
m
u
p
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d
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u
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te
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t 8
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ate
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DCT ba
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ased
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es
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y
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s
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h
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r
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tech
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ased
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I
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h
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o
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m
th
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m
.
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h
ese
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t
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ar
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as
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n
p
u
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T
h
en
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g
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e
is
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t
w
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e
s
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t
h
e
i
m
ag
e
s
w
il
l
b
e
p
ar
ted
in
d
if
f
er
en
t
f
r
eq
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s
.
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h
e
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T
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g
i
n
e
i
s
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s
ed
to
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m
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n
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tr
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s
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m
atio
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s
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g
m
e
m
o
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ef
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s
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h
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er
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alg
o
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ith
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h
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e
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w
ar
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h
e
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o
u
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t
co
m
p
o
s
ed
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2D
-
DC
T
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ich
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s
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n
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u
t
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lier
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e
n
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ate
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ct
o
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t
w
o
m
u
ltip
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s
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h
e
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tp
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t
o
f
m
u
l
tip
lier
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iv
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n
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ich
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h
e
m
ai
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s
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ip
lier
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er
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s
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s
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n
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th
e
s
i
m
ilar
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ed
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els
o
f
t
w
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i
m
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g
es.
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h
e
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T
ap
p
r
o
ac
h
h
elp
s
to
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eso
lv
e
m
o
s
t
o
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th
e
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er
lap
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ed
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m
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g
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ts
o
f
t
w
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m
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L
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ter
,
T
h
en
I
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en
g
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ap
p
l
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o
r
p
h
ase
co
r
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s
ca
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cu
lated
.
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m
t
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at
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m
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eg
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s
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s
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o
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e
a
n
d
th
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ated
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m
ag
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s
id
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l
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s
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atio
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s
p
r
o
ce
s
s
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h
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k
th
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lig
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p
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i
n
co
r
n
er
s
o
f
t
w
o
i
m
ag
e
s
.
I
f
th
e
ali
g
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ed
p
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ar
e
s
a
m
e
th
e
n
o
n
l
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e
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eg
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at
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k
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lace
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th
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w
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s
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s
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t a
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t p
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Fig
u
r
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5
,
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ep
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ased
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to
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m
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th
at
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p
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ed
d
if
f
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n
t
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n
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t
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b
it
co
m
p
o
n
e
n
t
s
li
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r
ed
(
r
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,
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a
n
d
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(
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o
f
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ese
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Star
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a
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d
r
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t_
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g
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d
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t_
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.
d
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e_
r
,
d
o
n
e_
g
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d
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b
)
.
Fig
u
r
e
6
s
h
o
w
s
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ter
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s
tr
u
c
tu
r
e
s
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m
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ltip
lier
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d
d
iv
id
er
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T
h
e
ab
o
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e
Fig
u
r
e
7
,
in
d
icate
s
th
e
I
n
v
er
s
e
DC
T
’
s
i
n
ter
n
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l
ar
ch
itect
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e
th
at
co
m
p
o
s
es
v
ar
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o
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s
b
lo
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s
lik
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s
h
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er
/s
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b
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t
r
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to
r
,
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m
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le
m
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n
t
c
h
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k
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m
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,
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d
u
p
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atio
n
o
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o
u
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t
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n
R
A
M
m
e
m
o
r
y
.
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e,
8
-
b
it
m
e
m
o
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ef
f
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n
t
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s
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o
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en
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th
e
1
D
-
DC
T
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n
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ta
n
t
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o
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f
icie
n
t
v
al
u
e
f
o
r
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ltip
licatio
n
o
p
er
atio
n
.
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r
t
h
er
o
n
th
e
b
asi
s
o
f
co
u
n
ter
i
n
d
ex
,
th
e
co
ef
f
icie
n
ts
ar
e
allo
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to
8
-
b
it
m
e
m
o
r
y
.
T
h
ese
8
b
it
in
p
u
t
d
ata
w
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ll
b
e
s
h
i
f
ted
to
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m
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y
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s
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s
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f
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ter
s
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h
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s
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f
ted
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f
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r
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th
e
s
h
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ted
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o
u
tp
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t
v
al
u
es.
T
h
e
o
u
tp
u
t
o
f
MSB
b
it
w
il
l
f
u
r
t
h
er
an
a
l
y
ze
th
e
ad
d
iti
o
n
an
d
s
u
b
tr
ac
tio
n
o
u
tp
u
t.
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a
ter
,
m
u
ltip
licatio
n
o
p
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atio
n
i
s
p
er
f
o
r
m
ed
w
h
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e
th
e
m
e
m
o
r
y
1
,
2
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3
,
4
,
5
,
6
,
7
,
8
w
it
h
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er
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b
tr
ac
to
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o
u
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t
s
ca
n
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ield
th
e
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-
d
i
f
f
er
en
t
p
r
o
d
u
cts
p
1
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p
2
.
.
.
p
7
.
Fin
all
y
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all
th
e
p
r
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u
cts
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ill
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e
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h
e
g
e
n
er
ated
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er
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u
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u
t
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o
u
n
d
ed
o
f
f
to
g
et
th
e
o
u
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t
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ef
f
icie
n
t
(
1
D
-
D
C
T
)
.
T
h
e
t
r
an
s
p
o
s
e
o
f
m
e
m
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r
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e
n
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th
e
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m
m
ed
iate
co
ef
f
icie
n
t
s
t
h
at
s
to
r
es
th
e
6
4
co
ef
f
icie
n
ts
in
6
4
lo
ca
tio
n
o
f
R
A
M
m
e
m
o
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.
L
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t
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d
/
w
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h
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ir
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en
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ated
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t
w
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l
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t
n
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2
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g
t
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ab
o
v
e
p
r
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ce
s
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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8
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I
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201
9
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6
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1634
O
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ased
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ased
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[
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Fig
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g
a
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n
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2
Fig
u
r
e
7
.
I
n
ter
n
al
ar
ch
itec
tu
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e
o
f
in
v
er
s
e
D
C
T
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
P
erfo
r
ma
n
ce
a
n
a
lysi
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co
lo
r
ima
g
e
mo
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a
icin
g
tech
n
iq
u
es
o
n
F
P
GA
(
Ja
ya
la
xmi
H
)
1635
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
NS
B
o
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th
e
C
I
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ap
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esig
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s
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Ver
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d
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g
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Fu
r
t
h
er
th
e
v
a
lid
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t
h
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er
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iate
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at
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p
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ce
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2
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h
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Fig
u
r
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8
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n
d
icate
s
t
h
e
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I
M
o
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tco
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e
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o
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tain
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o
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er
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ize
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s
in
g
SW
M
an
d
D
C
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ap
p
r
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ac
h
es.
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n
t
h
is
,
le
f
t
i
m
ag
e
a
n
d
r
ig
h
t
i
m
ag
e
u
s
ed
to
cr
ea
te
m
o
s
aice
d
i
m
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y
m
atc
h
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g
its
f
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r
t
h
er
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th
e
co
m
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ar
ativ
e
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al
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i
s
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f
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h
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t
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ap
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M
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d
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T
is
p
er
f
o
r
m
ed
f
o
r
p
ar
am
eter
s
lik
e
P
SN
R
,
MS
E
,
d
ev
ice
u
tili
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t
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n
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n
d
ex
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u
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ti
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e.
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h
e
f
o
llo
w
i
n
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tab
le
g
i
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h
e
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r
r
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n
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m
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ar
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SNR
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SE,
d
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e
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tili
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tio
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m
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n
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le
s
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Fig
u
r
e
8
.
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I
M
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r
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ep
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er
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g
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le
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SNR
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o
m
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ar
is
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n
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f
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M
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d
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ased
C
I
M
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a
r
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me
t
e
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(
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e
p
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p
g
)
P
S
N
R
v
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n
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ased
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I
M
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r
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I
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x
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ased
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2
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3
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0
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ms
4.
CO
NCLU
SI
O
N
T
h
is
p
ap
er
p
r
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ted
t
w
o
d
if
f
er
en
t
i
m
ag
e
m
o
s
aici
n
g
m
et
h
o
d
s
lik
e
a)
SW
M
b
ased
co
lo
r
im
a
g
e
m
o
s
aici
n
g
(
C
I
M)
ap
p
r
o
ac
h
f
o
r
co
r
n
er
d
etec
tio
n
to
p
er
f
o
r
m
a
u
to
m
at
ic
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m
ag
e
r
e
g
is
tr
atio
n
,
(
b
)
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T
b
ased
co
lo
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i
m
a
g
e
m
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to
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le
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m
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n
m
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n
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es.
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o
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h
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et
h
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e
t
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m
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g
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a
s
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p
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t
s
to
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r
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m
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co
m
p
ar
ativ
e
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a
l
y
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is
is
p
er
f
o
r
m
ed
a
m
o
n
g
b
o
th
t
h
e
m
et
h
o
d
s
.
B
y
an
al
y
z
in
g
t
h
e
tab
les
o
f
P
SNR
,
MSE
,
d
e
v
ice
u
ti
liza
tio
n
a
n
d
e
x
ec
u
t
io
n
ti
m
e
o
f
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W
M
an
d
D
C
T
b
ased
C
I
M,
i
t i
s
f
o
u
n
d
t
h
at
e
f
f
ec
ti
v
e
P
SNR
v
al
u
e
o
f
DC
T
(
3
6
.
2
8
8
2
d
B
)
th
an
SW
M
(
3
1
.
6
8
4
4
d
B
)
,
least
MSE
v
al
u
e
o
f
DC
T
(
1
5
.
2
8
4
9
)
th
an
SW
M
(4
3
.
0
8
8
4
)
,
less
d
ev
ice
u
tili
za
ti
o
n
o
f
DC
T
th
an
SW
M
an
d
it
tak
es
lo
w
e
x
ec
u
tio
n
ti
m
e
o
f
D
C
T
(
2
3
.
0
2
m
s
)
th
an
SW
M
(
3
8
.
4
2
m
s
)
.
T
h
e
h
i
g
h
er
v
alu
e
o
f
P
SNR
in
d
icate
s
th
e
g
o
o
d
q
u
alit
y
o
f
m
o
s
aice
d
i
m
ag
e.
L
ea
s
t
MSE
v
alu
e
r
ep
r
esen
ts
t
h
e
lo
w
er
r
o
r
in
m
o
s
aice
d
i
m
a
g
e
a
n
d
u
til
izes
less
h
ar
d
w
ar
e
co
m
p
o
n
en
t
s
.
T
h
is
p
ap
er
ca
n
b
e
i
m
p
le
m
en
ted
f
o
r
s
u
r
v
ei
llan
c
e
s
y
s
te
m
to
m
o
n
ito
r
th
e
ab
n
o
r
m
al
ac
tio
n
s
.
T
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
s
ca
n
b
e
co
n
s
id
er
ed
in
f
u
t
u
r
e
r
esear
ch
e
s
to
h
av
e
f
u
r
th
er
i
m
p
r
o
v
e
m
e
n
t
in
p
er
f
o
r
m
a
n
ce
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
3
,
J
u
n
e
201
9
:
1
6
3
0
-
1
6
3
6
1636
RE
F
E
R
E
NC
E
S
[1
]
S
z
e
li
sk
i,
Rich
a
rd
,
a
n
d
He
u
n
g
-
Ye
u
n
g
S
h
u
m
.
,
"
Cre
a
ti
n
g
f
u
ll
v
ie
w
p
a
n
o
ra
m
ic i
m
a
g
e
m
o
sa
ic
s a
n
d
e
n
v
i
ro
n
m
e
n
t
m
a
p
s"
,
Pro
c
e
e
d
in
g
s o
f
th
e
2
4
th
a
n
n
u
a
l
c
o
n
fer
e
n
c
e
o
n
Co
m
p
u
ter
g
r
a
p
h
ics
a
n
d
i
n
ter
a
c
ti
v
e
tec
h
n
i
q
u
e
s.
A
CM
P
re
ss
/A
d
d
iso
n
-
W
e
sle
y
P
u
b
li
sh
i
n
g
Co
.
,
1
9
9
7
.
[2
]
Re
in
h
a
rd
,
Eri
k
,
e
t
a
l.
,
“
Hig
h
d
y
n
a
m
ic
r
a
n
g
e
i
m
a
g
in
g
:
a
c
q
u
isit
io
n
,
d
is
p
lay
,
a
n
d
im
a
g
e
-
b
a
se
d
li
g
h
ti
n
g
,”
M
o
rg
a
n
Ka
u
fm
a
n
n
,
2
0
1
0
.
[3
]
S
tern
,
A
d
rian
,
a
n
d
Ba
h
ra
m
Ja
v
id
i.
,
"
T
h
re
e
-
d
ime
n
sio
n
a
l
im
a
g
e
se
n
s
in
g
,
v
isu
a
li
z
a
ti
o
n
,
a
n
d
p
ro
c
e
ss
in
g
u
sin
g
i
n
teg
ra
l
im
a
g
in
g
,"
Pro
c
e
e
d
in
g
s o
f
t
h
e
IEE
E
9
4
.
3
:
5
9
1
-
6
0
7
,
2
0
0
6
.
[4
]
Bh
o
sle
,
Ud
h
a
v
,
S
u
b
h
a
sis
Ch
a
u
d
h
u
ri,
a
n
d
S
u
m
a
n
tra
Du
tt
a
Ro
y
.
,
"
A
f
a
st
m
e
th
o
d
f
o
r
i
m
a
g
e
m
o
sa
icin
g
u
sin
g
g
e
o
m
e
tri
c
h
a
sh
in
g
,"
IET
E
J
o
u
rn
a
l
o
f
Res
e
a
rc
h
4
8
.
3
-
4
:
3
1
7
-
3
2
4
,
2
0
0
2
.
[5
]
M
u
rin
o
,
V
i
tt
o
ri
o
,
a
n
d
A
n
d
re
a
T
ru
c
c
o
.
,
"
T
h
re
e
-
d
i
m
e
n
sio
n
a
l
im
a
g
e
g
e
n
e
ra
ti
o
n
a
n
d
p
ro
c
e
ss
in
g
in
u
n
d
e
rw
a
t
e
r
a
c
o
u
stic
v
isio
n
,"
Pro
c
e
e
d
in
g
s o
f
th
e
I
EE
E
8
8
.
1
2
:
1
9
0
3
-
1
9
4
8
,
2
0
0
3
.
[6
]
G
h
o
sh
,
De
b
a
b
ra
ta,
a
n
d
Na
ima
Ka
a
b
o
u
c
h
.
,
"
A
su
rv
e
y
o
n
i
m
a
g
e
m
o
s
a
icin
g
tec
h
n
iq
u
e
s
,"
J
o
u
rn
a
l
o
f
Vi
su
a
l
Co
mm
u
n
ica
ti
o
n
a
n
d
Ima
g
e
Rep
re
se
n
ta
ti
o
n
3
4
:
1
-
1
1
,
2
0
1
6
.
[7
]
Zi
to
v
a
,
Ba
rb
a
ra
,
a
n
d
Ja
n
F
lu
ss
e
r
.
,
"
Im
a
g
e
r
e
g
istratio
n
m
e
th
o
d
s:
a
su
rv
e
y
,"
Im
a
g
e
a
n
d
Vi
sio
n
Co
mp
u
ti
n
g
2
1
.
1
1
:
977
-
1
0
0
0
,
2
0
0
3
.
[8
]
G
a
r
c
ia
-
F
id
a
lg
o
,
E.
,
Ortiz,
A
.
,
B
o
n
n
in
-
P
a
sc
u
a
l,
F
.
a
n
d
Co
m
p
a
n
y
,
J.
P
.
,
“
A
m
o
sa
icin
g
a
p
p
ro
a
c
h
f
o
r
v
e
ss
e
l
v
isu
a
l
in
sp
e
c
ti
o
n
u
sin
g
a
m
icro
-
a
e
rial
v
e
h
icle
,”
In
In
telli
g
e
n
t
Ro
b
o
ts
a
n
d
S
y
ste
ms
(
IROS
)
,
IEE
E/
RS
J
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
(p
p
.
1
0
4
-
1
1
0
)
,
IE
EE
,
S
e
p
tem
b
e
r
-
2
0
1
5
.
[9
]
Zag
ro
u
b
a
,
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e
d
d
in
e
,
W
a
li
d
Ba
rh
o
u
m
i
a
n
d
S
li
m
Am
ri.
,
“
A
n
e
ff
icie
n
t
i
m
a
g
e
-
m
o
sa
icin
g
m
e
t
h
o
d
b
a
se
d
o
n
m
u
lt
ifea
tu
re
m
a
tch
i
ng
,”
M
a
c
h
in
e
Vi
sio
n
a
n
d
A
p
p
li
c
a
ti
o
n
s
2
0
:
1
3
9
-
1
6
2
,
2
0
0
7
.
[1
0
]
A
b
ra
h
a
m
,
Rin
tu
,
a
n
d
P
h
i
lo
m
in
a
S
im
o
n
.
,
"
Re
v
ie
w
o
n
m
o
sa
i
c
in
g
tec
h
n
iq
u
e
s
in
im
a
g
e
p
ro
c
e
ss
i
n
g
,"
Ad
v
a
n
c
e
d
Co
mp
u
t
in
g
a
n
d
Co
mm
u
n
ica
ti
o
n
T
e
c
h
n
o
l
o
g
ies
(
ACCT
),
2
0
1
3
T
h
ird
In
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
c
e
,
IEE
E,
2
0
1
3
.
[1
1
]
Zh
u
,
Ju
n
,
a
n
d
M
i
n
g
w
u
Re
n
.
,
"
Im
a
g
e
m
o
sa
ic
m
e
th
o
d
b
a
se
d
o
n
S
I
F
T
f
e
a
tu
re
s
o
f
li
n
e
se
g
m
e
n
t
,"
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m
p
u
tati
o
n
a
l
a
n
d
m
a
th
e
m
a
ti
c
a
l
m
e
th
o
d
s in
m
e
d
icin
e
,
2
0
1
4
.
[1
2
]
Ch
e
n
,
S
h
u
a
i
,
e
t
a
l.
,
"
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a
g
e
m
o
s
a
ic
b
a
se
d
o
n
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IF
T
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n
d
m
o
rp
h
o
l
o
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ica
l
c
o
m
p
o
n
e
n
t
a
n
a
ly
sis
,”
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g
e
a
n
d
S
ig
n
a
l
Pro
c
e
ss
in
g
,
B
io
M
e
d
ica
l
En
g
in
e
e
r
in
g
a
n
d
I
n
fo
rm
a
ti
c
s (
CIS
P
-
BM
EI)
,
1
0
th
I
n
ter
n
a
ti
o
n
a
l
Co
n
g
re
ss
,
IE
EE
,
2
0
1
7
.
[1
3
]
Am
a
rica
i,
A
lex
a
n
d
ru
,
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o
n
sta
n
t
in
a
-
El
e
n
a
G
a
v
ril
iu
,
a
n
d
Oa
n
a
Bo
n
c
a
lo
.
,
"
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n
F
P
G
A
slid
in
g
w
in
d
o
w
-
b
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se
d
a
rc
h
it
e
c
tu
re
h
a
rris
c
o
rn
e
r
d
e
tec
to
r
,"
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e
ld
Pro
g
r
a
mm
a
b
le
L
o
g
i
c
a
n
d
Ap
p
li
c
a
t
io
n
s
(
FP
L
),
2
4
t
h
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
.
IEE
E
,
2
0
1
4
.
[1
4
]
El
ib
o
l,
A
r
m
a
g
a
n
,
e
t
a
l.
,
"
F
a
st Un
d
e
rw
a
ter
I
m
a
g
e
M
o
sa
icin
g
th
ro
u
g
h
S
u
b
m
a
p
p
in
g
,"
J
o
u
rn
a
l
o
f
In
tell
i
g
e
n
t
&
Ro
b
o
ti
c
S
y
ste
ms
8
5
.
1
:
1
6
7
-
1
8
7
,
2
0
1
7
.
[1
5
]
Ke
k
e
c
,
T
a
y
g
u
n
,
A
lp
e
r
Yild
iri
m
,
a
n
d
M
u
sta
f
a
Un
e
l.
,
"
A
n
e
w
a
p
p
ro
a
c
h
t
o
re
a
l
-
ti
m
e
m
o
sa
icin
g
o
f
a
e
rial
im
a
g
e
s
,"
Ro
b
o
ti
c
s a
n
d
Au
t
o
n
o
mo
u
s S
y
ste
ms
6
2
.
1
2
:
1
7
5
5
-
1
7
6
7
,
2
0
1
4
.
[1
6
]
Ja
z
iri
,
Ib
ti
h
e
l.
"
A
S
im
p
li
f
ied
S
p
e
e
d
Co
n
tr
o
l
o
f
In
d
u
c
ti
o
n
M
o
t
o
r
b
a
se
d
o
n
a
L
o
w
Co
st
F
P
G
A
,
"
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
m
p
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
V
o
l
7
,
n
o
.
4
,
1
7
6
0
-
1
7
6
9
,
2
0
1
7
.
[1
7
]
]
Ra
jen
d
ra
n
,
R.
,
a
n
d
N.
De
v
a
ra
jan
.
"
S
im
u
latio
n
a
n
d
im
p
le
m
e
n
tatio
n
o
f
a
h
ig
h
p
e
rf
o
rm
a
n
c
e
to
rq
u
e
c
o
n
t
ro
l
sc
h
e
m
e
o
f
IM
u
ti
li
z
in
g
F
P
G
A
,
"
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
EC
E)
V
o
l
2
,
n
o
.
3
,
277
-
2
8
4
,
2
0
1
2
.
[1
8
]
Is
m
a
e
l,
S
,
O.
T
a
re
q
,
Y.T
.
Qa
ss
im
,
"
H
a
rd
wa
re
/S
o
f
t
w
a
r
e
Co
-
d
e
sig
n
f
o
r
a
P
a
ra
ll
e
l
T
h
re
e
-
Dim
e
n
sio
n
a
l
Bre
se
n
h
a
m
’s
A
l
g
o
rit
h
m
,"
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
9
,
n
o
.
1
,
Re
tri
e
v
e
d
o
n
1
6
-
Oc
t
,
2
0
1
8
[1
9
]
S
z
e
li
sk
i,
Rich
a
rd
,
"
Im
a
g
e
m
o
sa
ic
in
g
f
o
r
tele
-
re
a
li
t
y
a
p
p
li
c
a
ti
o
n
s
,"
Ap
p
li
c
a
ti
o
n
s
o
f
C
o
mp
u
ter
Vi
sio
n
,
Pro
c
e
e
d
in
g
s o
f
th
e
S
e
c
o
n
d
IE
EE
W
o
rk
sh
o
p
,
I
EE
E,
1
9
9
4
.
B
I
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
J
a
y
a
la
x
m
i
H
r
e
c
e
i
v
e
d
th
e
M
.
T
e
c
h
d
e
g
re
e
in
V
L
S
I
a
n
d
Em
b
e
d
d
e
d
S
y
ste
m
f
ro
m
BM
S
CE,
Ba
n
g
a
lo
re
,
V
T
U,
In
d
ia,
i
n
2
0
0
5
.
S
h
e
is
c
u
rre
n
tl
y
w
o
rk
in
g
in
th
e
d
e
p
a
rt
m
e
n
t
o
f
ECE
,
Ac
h
a
r
y
a
In
stit
u
te
o
f
T
e
c
h
n
o
lo
g
y
,
B
a
n
g
a
lo
re
,
In
d
ia
a
n
d
p
u
rsu
in
g
P
h
D
in
JN
T
U,
H
y
d
e
r
a
b
a
d
.
He
r
c
u
rre
n
t
re
se
a
r
c
h
in
tere
sts
in
c
lu
d
e
im
a
g
e
/v
id
e
o
p
ro
c
e
ss
in
g
,
V
L
S
I
a
n
d
p
u
b
li
s
h
e
d
p
a
p
e
rs
in
IEE
E,
El
se
v
ier
S
c
ien
c
e
Dire
c
t,
a
n
d
A
CEE
E.
S
.
Ra
m
a
c
h
a
n
d
r
a
n
,
h
a
v
in
g
a
P
h
.
D.
in
EE
/
V
L
S
I
De
sig
n
f
ro
m
II
T
M
a
d
ra
s.
He
is
c
u
rre
n
tl
y
a
P
ro
f
e
ss
o
r
in
S
JB
Re
se
a
rc
h
F
o
u
n
d
a
ti
o
n
,
S
J
BIT
,
Ba
n
g
a
lo
re
,
e
sta
b
li
sh
in
g
Hi
T
e
c
h
Re
se
a
rc
h
L
a
b
s
a
n
d
g
u
id
i
n
g
a
n
u
m
b
e
r
o
f
Re
se
a
r
c
h
sc
h
o
lars
.
He
h
a
s
w
rit
ten
a
b
o
o
k
ti
tl
e
d
Dig
it
a
l
V
L
S
I
S
y
ste
m
s
De
sig
n
p
u
b
li
sh
e
d
b
y
S
p
rin
g
e
r
V
e
rlag
,
Ne
th
e
rlan
d
s,
w
h
ich
is
f
o
ll
o
w
e
d
a
s
a
te
x
t
b
o
o
k
f
o
r
BS
/M
S
/
P
h
.
D.
in
m
a
n
y
Un
iv
e
rsiti
e
s
o
f
US
A
,
Eu
ro
p
e
a
n
d
o
t
h
e
r
p
a
rts
o
f
th
e
W
o
rld
.
A
lso
,
a
V
i
d
e
o
Co
u
rse
h
a
s
b
e
e
n
c
o
m
p
lete
d
a
t
IIT
M
a
d
r
a
s
o
n
Dig
it
a
l
V
L
S
I
S
y
ste
m
De
sig
n
fo
r
N
P
T
EL
,
Na
ti
o
n
a
l
tele
c
a
st o
n
T
V
.
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