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m
p
r
ess
io
n
tech
n
iq
u
e
[
8
]
in
tr
o
d
u
ce
s
to
en
h
a
n
ce
t
h
e
s
ta
n
d
ar
d
o
f
t
h
e
r
ec
o
n
s
tr
u
ct
ed
i
m
ag
e
w
it
h
h
ig
h
P
SNR
v
al
u
e
w
h
ic
h
in
cl
u
d
es
t
h
e
co
m
b
in
at
io
n
o
f
P
r
in
cip
al
C
o
m
p
o
n
e
n
t
A
n
al
y
s
is
(
A
ls
o
k
n
o
w
n
as
Kar
h
u
n
en
-
L
o
ev
eT
r
an
s
f
o
r
m
(
KL
W
)
)
,
DC
T
f
o
llo
w
ed
b
y
SP
I
HT
tech
n
iq
u
e
(
Set
-
P
ar
titi
o
n
i
n
g
-
In
-
H
ie
r
ar
ch
ical
-
T
r
ee
s
)
an
d
r
esu
lt
s
to
m
i
n
i
m
ize
t
h
e
en
co
d
in
g
ti
m
e.
R
OI
B
ased
h
y
b
r
id
co
m
p
r
ess
i
o
n
alg
o
r
ith
m
s
to
i
m
p
r
o
v
e
th
e
P
SNR
,
C
R
,
Sp
ac
e
s
av
in
g
an
d
ti
m
e
-
co
n
s
u
m
i
n
g
co
m
p
ar
ed
to
co
n
v
e
n
tio
n
al
ap
p
r
o
ac
h
es.
T
h
e
R
OI
b
ase
d
lo
s
s
les
s
i
m
a
g
e
co
m
p
r
ess
io
n
w
it
h
E
m
b
ed
d
ed
Z
er
o
-
tr
ee
W
av
elet
(
E
Z
W
)
A
l
g
o
r
ith
m
[
9
]
is
d
esig
n
ed
f
o
r
b
etter
d
iag
n
o
s
is
an
d
co
m
p
ar
ed
w
i
th
o
th
er
tech
n
iq
u
es
li
k
e
Haa
r
W
av
elet
(
HW
)
[
1
0
]
an
d
Dau
b
ec
h
ies
w
a
v
elet
(
Db
W
)
T
r
an
s
f
o
r
m
ati
o
n
w
it
h
b
etter
i
m
ag
e
q
u
alit
y
.
T
h
e
B
u
r
r
o
w
s
-
W
h
ee
le
r
(
B
W
)
T
r
an
s
f
o
r
m
a
n
d
Mo
v
e
t
o
Fro
n
t(
MT
F)
tr
an
s
f
o
r
m
w
i
th
Hu
f
f
m
a
n
e
n
co
d
in
g
an
d
h
y
b
r
id
f
r
ac
tal
en
co
d
i
n
g
[
1
1
]
an
d
DW
T
f
o
llo
w
ed
b
y
SP
HI
T
tech
n
iq
u
e
[
1
2
]
ar
e
R
OI
b
ased
h
y
b
r
id
co
m
p
r
es
s
io
n
ap
p
r
o
ac
h
ap
p
licab
le
to
m
ed
ical
MRI
i
m
ag
e
s
w
it
h
C
R
i
m
p
r
o
v
e
m
e
n
t
s
.
T
h
e
R
OI
o
f
r
ad
io
lo
g
ical
I
m
ag
e
ap
p
lied
to
Ved
ic
co
m
p
r
ess
io
n
al
g
o
r
ith
m
[
1
3
]
o
n
s
o
f
t
w
ar
e
ap
p
r
o
ac
h
w
i
th
i
m
p
r
o
v
e
m
en
t
in
co
m
p
u
tat
io
n
s
p
ee
d
,
co
m
p
r
ess
io
n
r
atio
an
d
v
is
u
al
q
u
al
it
y
o
u
tco
m
e
s
w
it
h
d
if
f
er
e
n
t
i
m
ag
e
d
atab
ase
o
v
er
co
n
v
e
n
tio
n
al
D
C
T
ap
p
r
o
ac
h
.
T
h
e
FP
GA
b
ased
a
p
p
r
o
ac
h
w
i
th
2
D
-
DW
T
u
s
in
g
m
o
d
i
f
ied
Ved
ic
Mu
ltip
lier
[
1
4
]
w
it
h
less
n
u
m
b
er
o
f
Half
a
n
d
f
u
ll
ad
d
er
in
ad
d
er
-
tr
ee
m
o
d
u
le
w
h
ic
h
r
es
u
lts
i
n
les
s
r
eso
u
r
ce
b
u
t
t
h
e
o
u
tp
u
t
i
m
a
g
e
q
u
alit
y
i
s
n
o
t
u
p
to
th
e
s
ta
n
d
ar
d
s
.
Mo
s
t
o
f
th
e
R
e
s
ea
r
ch
w
o
r
k
to
w
ar
d
s
o
n
R
OI
-
B
ased
i
m
a
g
e
co
m
p
r
ess
io
n
w
it
h
L
o
s
s
y
o
r
lo
s
s
les
s
tech
n
iq
u
es
ar
e
s
o
f
t
w
ar
e
-
b
ased
ap
p
r
o
ac
h
es.
Ver
y
f
e
w
w
o
r
k
s
o
n
h
ar
d
w
ar
e
-
b
ased
p
r
o
ce
d
u
r
es
f
o
r
Me
d
ical
im
ag
e
p
r
o
ce
s
s
in
g
w
it
h
o
p
ti
m
iza
tio
n
p
r
o
b
lem
s
,
Har
d
w
ar
e
co
m
p
le
x
i
t
y
,
an
d
P
er
f
o
r
m
a
n
ce
d
eg
r
ad
ati
o
n
w
it
h
co
n
s
tr
ain
t
s
.
Ou
r
p
r
o
p
o
s
ed
d
esig
n
to
w
ar
d
s
R
OI
B
ased
L
i
f
ti
n
g
s
ch
e
m
e
D
W
T
ap
p
r
o
ac
h
u
s
i
n
g
Ved
ic
M
u
ltip
lier
to
i
m
p
r
o
v
e
th
e
co
m
p
u
tatio
n
s
p
ee
d
w
ith
i
m
a
g
e
q
u
alit
y
i
m
a
g
e
a
n
d
W
allac
e
tr
ee
m
u
lt
ip
lier
en
h
a
n
ce
s
th
e
h
ar
d
w
ar
e
co
m
p
le
x
it
y
w
i
th
o
p
ti
m
iza
tio
n
u
s
in
g
p
ip
eli
n
i
n
g
ar
ch
itect
u
r
e
s
o
n
FP
GA
.
Sectio
n
1
h
as
d
i
s
cu
s
s
ed
th
e
ex
i
s
ti
n
g
ap
p
r
o
ac
h
es
u
s
in
g
R
OI
i
m
a
g
e
co
m
p
r
es
s
io
n
,
FP
G
A
b
ased
DW
T
m
et
h
o
d
s
w
it
h
Ved
ic
m
u
l
tip
lier
an
d
W
allac
e
tr
ee
m
u
ltip
lier
s
.
I
n
Sectio
n
3
,
Ov
er
v
ie
w
o
f
t
h
e
m
et
h
o
d
o
lo
g
y
w
h
ic
h
d
ea
ls
w
it
h
t
h
e
p
r
o
p
o
s
ed
d
esig
n
.
T
h
e
R
OI
B
ased
DW
T
-
W
M
a
n
d
VM
d
esig
n
m
et
h
o
d
s
e
x
p
lain
ed
i
n
d
etail
in
s
ec
tio
n
4
f
o
llo
w
ed
b
y
t
h
e
r
es
u
lts
an
d
d
is
cu
s
s
io
n
w
i
th
p
er
f
o
r
m
an
ce
t
ab
u
latio
n
i
n
s
ec
tio
n
5
,
an
d
s
ec
tio
n
6
g
iv
e
s
t
h
e
co
n
cl
u
s
io
n
o
f
th
e
o
v
er
all
w
o
r
k
.
T
h
is
s
ec
tio
n
d
is
c
u
s
s
es
th
e
m
e
t
h
o
d
s
ad
o
p
ted
f
o
r
R
OI
b
ased
i
m
ag
e
co
m
p
r
es
s
io
n
f
o
r
d
if
f
er
e
n
t
m
ed
ical
i
m
a
g
es,
DW
T
A
p
p
r
o
ac
h
es,
Ved
ic
an
d
W
allac
e
m
u
lt
ip
lier
d
u
r
in
g
r
ec
en
t
y
ea
r
s
.
Ha
m
z
ah
et
al.
[
1
5
]
h
av
e
p
r
esen
ted
th
e
Fo
u
r
-
d
i
m
e
n
s
io
n
al
-
R
OI
I
m
a
g
e
co
m
p
r
es
s
io
n
an
d
u
s
ed
n
o
n
-
s
ep
ar
ab
le
Do
u
b
le
L
i
f
ti
n
g
in
te
g
e
r
w
a
v
elet
tr
an
s
f
o
r
m
(
I
W
T
)
to
r
ed
u
ce
th
e
r
o
u
n
d
i
n
g
n
o
is
e,
an
d
th
e
n
u
m
b
er
o
f
r
o
u
n
d
in
g
o
p
er
ato
r
s
alo
n
g
w
i
th
in
cr
ea
s
i
n
g
co
d
in
g
p
er
f
o
r
m
a
n
c
e
an
d
th
e
ar
ch
itectu
r
e
is
co
m
p
atib
le
to
J
P
E
G
-
2
0
0
0
co
n
v
en
ti
o
n
al
ap
p
r
o
ac
h
.
T
h
e
B
lo
ck
ed
R
OI
co
m
p
r
ess
i
v
e
s
en
s
in
g
(
C
S)
o
f
T
HE
MI
S
im
ag
e
s
an
d
its
r
ec
o
n
s
tr
u
ctio
n
o
f
i
m
a
g
es
w
i
th
i
m
p
r
o
v
e
m
en
t
i
n
i
m
a
g
e
q
u
ali
t
y
an
d
C
R
h
as
p
r
ese
n
ted
b
y
Srij
a
et
al.
[
1
6
]
.
Am
it
e
t
al.
[
1
7
]
h
av
e
g
i
v
en
a
P
o
ly
g
o
n
al
R
OI
b
ased
i
m
a
g
e
co
m
p
r
ess
io
n
o
f
DI
C
OM
i
m
ag
e
s
f
o
r
tele
m
ed
ici
n
e
ap
p
l
icatio
n
s
u
s
i
n
g
ze
r
o
p
ad
d
in
g
,
L
o
s
s
y
,
an
d
lo
s
s
le
s
s
w
a
v
elet
co
m
p
r
ess
io
n
.
Fo
r
B
e
tter
P
o
r
tab
le
Gr
ap
h
ics
(
B
P
G)
,
Dav
id
et
al.
[
1
8
]
h
av
e
p
r
ese
n
ted
an
R
OI
b
ase
d
i
m
ag
e
co
m
p
r
e
s
s
io
n
tech
n
iq
u
es
w
h
ic
h
in
c
lu
d
e
v
id
eo
co
d
in
g
a
lg
o
r
it
h
m
s
a
n
d
r
esu
lt
s
2
5
%
im
p
r
o
v
e
m
en
t
i
n
C
R
o
v
er
tr
ad
itio
n
al
i
m
a
g
e
co
m
p
r
e
s
s
io
n
tech
n
iq
u
e
s
.
T
h
e
cl
o
u
d
-
b
ased
s
o
lu
tio
n
s
f
o
r
h
is
to
p
ath
o
lo
g
ical
i
m
ag
e
s
u
s
in
g
R
OI
b
ased
co
m
p
r
ess
io
n
ar
e
p
r
esen
ted
b
y
A
p
ar
n
a
et
al.
[
1
9
]
w
it
h
g
r
ea
t
C
R
w
it
h
o
p
ti
m
ized
s
to
r
ag
e
to
an
d
f
r
o
m
t
h
e
clo
u
d
.
T
o
p
er
f
o
r
m
t
h
e
R
OI
co
m
p
r
ess
io
n
s
f
r
o
m
t
h
e
c
u
r
r
en
t
s
u
r
v
e
y
,
s
u
itab
le
h
ar
d
w
ar
e
b
ased
tr
an
s
f
o
r
m
at
io
n
s
ar
e
s
elec
ted
to
s
h
o
w
t
h
e
i
m
ag
e
co
m
p
r
es
s
io
n
.
Kir
a
n
m
a
y
e
et
al.
[
2
0
]
h
av
e
p
r
esen
ted
a
2
D
-
DW
T
lif
ti
n
g
ap
p
r
o
ac
h
h
av
in
g
o
v
er
lap
p
ed
-
s
tr
ip
e
b
ased
s
ca
n
n
i
n
g
m
et
h
o
d
w
h
ic
h
r
ed
u
ce
s
t
h
e
te
m
p
o
r
ar
y
m
e
m
o
r
y
in
t
h
e
p
r
o
ce
s
s
an
d
p
r
ed
icts
,
u
p
d
ates
an
d
ad
d
itio
n
m
o
d
els
ar
e
i
n
co
r
p
o
r
ated
in
ar
ch
itectu
r
e
an
d
r
esu
lt
s
w
it
h
les
s
ar
ea
an
d
p
o
w
er
co
n
s
u
m
p
t
io
n
t
h
an
p
r
ev
io
u
s
ap
p
r
o
ac
h
es,
b
u
t
la
g
s
w
it
h
i
m
a
g
e
q
u
alit
y
an
d
c
o
m
p
u
tatio
n
s
p
ee
d
.
Fo
r
er
r
o
r
to
ler
an
t
ap
p
licatio
n
s
,
th
e
2
D
-
DW
T
m
et
h
o
d
f
o
llo
w
ed
b
y
a
s
m
o
o
t
h
Ga
u
s
s
ia
n
f
i
lter
is
d
es
ig
n
ed
b
y
N
a
y
n
a
et
al.
[
2
1
]
w
h
ic
h
r
es
u
lts
i
n
t
h
e
a
v
er
ag
e
i
m
a
g
e
q
u
a
lit
y
o
u
tp
u
t
w
h
ic
h
i
s
ac
ce
p
tab
le
to
h
u
m
a
n
e
y
es.
Sh
w
eta
et
al.
[
2
2
]
h
av
e
p
r
ese
n
ted
DW
T
f
o
r
i
m
a
g
e
co
m
p
r
e
s
s
io
n
u
s
in
g
Ma
llat
al
g
o
r
ith
m
s
tr
u
ct
u
r
e
o
n
Xili
n
x
s
y
s
te
m
g
e
n
er
ato
r
an
d
w
h
ic
h
r
esu
lts
f
r
o
m
r
i
g
h
t
r
ec
o
n
s
tr
u
ct
i
m
ag
e
a
n
d
lag
s
w
i
th
a
n
ar
ea
an
d
p
o
w
er
co
n
s
u
m
p
tio
n
o
n
FP
G
A
.
T
o
im
p
r
o
v
e
th
e
co
m
p
u
tat
io
n
s
p
ee
d
,
m
u
lt
ip
lier
s
p
lace
cr
itic
al
r
o
le
to
m
ain
tain
th
e
co
m
p
r
ess
io
n
a
n
d
q
u
alit
y
o
f
r
ec
o
n
s
tr
u
cted
i
m
a
g
es.
Gad
ak
h
et
al.
[
2
3
]
h
av
e
p
r
esen
ted
An
cie
n
t
1
6
X
1
6
Ved
ic
Mu
ltip
lier
(
VM
)
in
clu
d
e
s
Ur
d
h
v
a
-
T
ir
y
a
g
b
h
y
a
m
(
UT
)
s
u
tr
a
an
d
r
esu
l
ts
w
ith
p
at
h
d
ela
y
a
n
d
m
e
m
o
r
y
co
n
s
u
m
p
tio
n
,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
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lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
A
n
efficien
t d
esig
n
a
p
p
r
o
a
ch
o
f R
OI
b
a
s
ed
DW
T u
s
in
g
ve
d
ic
a
n
d
w
a
lla
ce
tr
ee
mu
ltip
lier
o
n
…
(
V
ija
ya
S
.
M
.
)
2435
b
u
t
it
i
s
s
a
m
e
as
co
n
v
e
n
tio
n
al
ap
p
r
o
ac
h
es.
T
h
e
8
x
8
Ved
ic
m
u
ltip
lier
w
it
h
m
o
d
i
f
ied
F
u
ll
ad
d
er
s
p
r
esen
ted
b
y
B
an
d
i
et
al.
[
2
4
]
w
i
th
p
er
f
o
r
m
an
ce
an
a
l
y
s
is
o
f
A
r
ea
r
eso
u
r
ce
.
Kah
ar
et
al.
[
2
5
]
s
h
o
w
a
6
4
X6
4
Ved
ic
m
u
ltip
lier
w
ith
co
n
v
e
n
tio
n
al
ap
p
r
o
ac
h
es
an
d
p
er
f
o
r
m
a
n
ce
in
clu
d
e
ar
e
a
an
d
p
ath
d
ela
y
ar
e
tab
u
lated
.
T
h
is
m
u
l
tip
lier
u
s
e
s
th
e
s
a
m
e
tr
ad
itio
n
al
ap
p
r
o
ac
h
es
w
ith
o
u
t
n
o
v
e
lt
y
.
T
h
e
Xu
a
n
et
al.
[
2
6
]
h
as
p
r
ese
n
ted
an
u
n
s
i
g
n
ed
3
2
-
b
it
m
u
ltip
lier
u
s
in
g
W
allac
e
m
u
ltip
lier
a
n
d
b
o
o
th
en
co
d
er
.
T
h
e
C
ar
r
y
-
lo
o
k
ah
ea
d
ad
d
er
an
d
m
o
d
i
f
ied
W
allac
e
tr
ee
ad
d
e
r
u
s
ed
as
ad
d
er
-
tr
ee
an
d
w
h
i
ch
g
i
v
es
f
a
s
t
r
esu
lts
w
it
h
m
o
r
e
ar
ea
u
tili
za
tio
n
.
Asi
f
et
al.
[
2
7
]
p
r
esen
t
a
W
al
lace
-
tr
ee
(
W
M
)
m
u
lt
ip
lier
in
c
lu
d
es
h
i
g
h
-
s
p
ee
d
co
u
n
ter
s
.
L
u
ca
s
et
al.
[
2
8
]
an
d
R
a
m
et
al.
[
2
9
]
p
r
esen
ts
W
alla
ce
m
u
l
tip
lier
s
u
s
i
n
g
C
ar
r
y
s
ele
ct
ad
d
er
w
it
h
a
n
ar
ea
an
d
d
elay
co
m
p
ar
is
o
n
.
Su
n
ai
n
a
et
al.
[
3
0
]
an
d
Su
m
a
et
al.
[
3
1
]
p
r
esen
ts
t
h
e
Ved
ic
m
u
lt
ip
lier
b
ased
im
a
g
e
c
o
m
p
r
es
s
io
n
u
s
i
n
g
DW
T
m
et
h
o
d
w
h
ich
i
n
clu
d
e
s
co
n
v
e
n
tio
n
al
Ved
ic
ap
p
r
o
ac
h
an
d
tr
ad
itio
n
al
DW
T
ap
p
r
o
ac
h
es
an
d
r
esu
lt
s
f
r
o
m
th
e
ar
ea
an
d
d
el
a
y
s
u
ti
lizatio
n
tab
u
la
tio
n
w
it
h
n
o
i
m
p
r
o
v
e
m
en
t
i
n
i
m
a
g
e
q
u
alit
y
.
T
h
e
w
o
r
k
o
f
Na'
a
m
et
al.
[
32
]
h
av
e
co
n
c
en
tr
ated
o
n
m
ed
ic
al
i
m
a
g
e
p
r
o
ce
s
s
in
g
o
f
f
u
n
d
u
s
i
m
a
g
e
an
d
i
n
tr
o
d
u
ce
d
a
n
au
to
m
at
ic
R
OI
m
ec
h
an
i
m
s
th
at
ad
o
p
ts
th
r
esh
o
ld
m
e
th
o
d
o
f
s
eg
m
en
tatio
n
.
F
u
r
t
h
er
,
an
w
o
r
k
o
f
L
a
k
s
h
m
in
ar
a
y
an
a
a
n
d
Sar
v
a
g
y
a
[
33
]
,
p
r
esen
ted
an
co
m
p
r
es
iv
e
s
e
n
s
i
n
g
b
ased
m
ed
ical
i
m
ag
e
co
m
p
r
ess
io
n
b
y
co
n
s
id
er
in
g
R
OI
w
it
h
lo
s
s
le
s
s
co
m
p
r
e
s
s
io
n
.
T
h
e
p
er
f
r
o
m
an
ce
o
f
[
33
]
is
a
n
al
y
ze
d
b
y
co
n
s
id
er
in
g
M
SE,
P
SNR
an
d
co
m
p
r
ess
io
n
r
atio
.
T
h
er
e
is
a
lo
t
o
f
s
tu
d
y
to
w
a
r
d
s
I
m
a
g
e
co
m
p
r
ess
io
n
u
s
i
n
g
T
r
an
s
f
o
r
m
atio
n
a
n
d
o
th
er
m
eth
o
d
s
as
s
o
f
t
w
ar
e
ap
p
r
o
ac
h
es
an
d
f
e
w
e
r
h
ar
d
w
ar
e
ap
p
r
o
ac
h
es
i
n
m
ed
ical
i
m
ag
e
ap
p
licatio
n
s
.
Ver
y
f
e
w
w
o
r
k
s
o
n
R
OI
b
ased
cr
iter
ia
f
o
r
Me
d
ical
i
m
ag
es
u
s
i
n
g
th
e
Ved
ic
m
u
ltip
li
er
b
ased
o
n
FP
GA
w
it
h
la
g
g
i
n
g
i
n
p
er
f
o
r
m
an
ce
m
atr
ices
i
n
clu
d
e
s
P
SNR
,
MSE
an
d
r
eso
u
r
ce
o
p
tim
izatio
n
.
T
h
ese
p
r
o
b
lem
s
ar
e
o
v
er
co
m
e
i
n
p
r
o
p
o
s
ed
tech
n
iq
u
es
w
i
th
t
h
e
f
o
llo
w
in
g
s
ec
tio
n
.
2.
P
RO
P
O
SE
D
M
E
T
H
O
DO
L
O
G
Y
T
h
e
p
r
o
p
o
s
ed
d
esig
n
in
c
lu
d
es
R
OI
B
ased
L
i
f
ti
n
g
s
c
h
e
m
e
o
f
d
is
cr
ete
w
a
v
elet
T
r
an
s
f
o
r
m
ati
o
n
(
DW
T
)
u
s
i
n
g
ar
ea
ef
f
icie
n
t
W
allac
e
-
tr
ee
m
u
ltip
lier
(
W
M)
an
d
m
o
d
if
ied
Ved
ic
Mu
l
tip
lier
(
VM
)
.
T
h
e
W
allac
e
tr
ee
m
u
ltip
lier
w
o
r
k
s
w
i
th
p
ar
allel
p
r
o
ce
s
s
in
g
u
s
i
n
g
p
ip
elin
ed
ar
ch
itect
u
r
e
r
esu
l
ts
i
n
an
o
p
ti
m
i
ze
d
ar
ea
w
i
th
h
i
g
h
s
p
ee
d
.
T
h
e
m
o
d
if
ied
Ved
ic
Mu
ltip
lier
is
u
s
ed
to
e
n
h
a
n
c
e
th
e
ex
ec
u
tio
n
s
p
ee
d
o
f
t
h
e
p
r
o
p
o
s
ed
d
esig
n
.
T
h
e
Fig
u
r
e
1
r
ep
r
esen
ts
t
h
e
ar
ch
itect
u
r
al
m
o
d
el
o
f
t
h
e
p
r
o
p
o
s
ed
p
lan
.
M
R
I
B
r
a
i
n
I
n
p
u
t
I
m
a
g
e
C
o
n
v
e
r
t
R
O
I
I
m
a
g
e
t
o
T
e
x
t
F
i
l
e
E
x
t
r
a
c
t
t
h
e
R
O
I
u
s
i
n
g
I
n
p
u
t
I
m
a
g
e
9
/
7
L
i
f
t
i
n
g
-
B
a
s
e
d
M
e
t
h
o
d
S
p
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i
t
t
i
n
g
E
v
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n
V
a
l
u
e
O
d
d
V
a
l
u
e
P
r
e
d
i
c
t
i
o
n
&
U
p
d
a
t
i
o
n
u
s
i
n
g
V
M
o
r
W
M
G
e
n
e
r
a
t
e
L
o
w
&
H
i
g
h
C
o
m
p
o
n
e
n
t
s
R
e
p
e
a
t
1
D
-
D
W
T
R
e
c
o
n
s
t
r
u
c
t
e
d
R
O
I
I
m
a
g
e
I
D
-
D
W
T
F
P
G
A
P
a
r
t
M
A
T
L
A
B
P
a
r
t
M
A
T
L
A
B
P
a
r
t
Fig
u
r
e
1
.
P
r
o
p
o
s
ed
m
eth
o
d
o
lo
g
y
C
o
n
s
id
er
th
e
MRI
-
B
r
ain
I
n
p
u
t
i
m
a
g
e,
e
x
tr
ac
t
th
e
R
OI
p
ar
t
f
r
o
m
t
h
e
i
n
p
u
t
i
m
a
g
e,
a
n
d
c
o
n
v
er
t
t
h
e
R
OI
I
m
ag
e
p
ar
t
to
tex
t
f
ile
f
o
r
m
at
u
s
in
g
Ma
tlab
.
T
h
e
p
r
o
p
o
s
ed
d
esig
n
i
s
ap
p
licab
le
o
n
ly
to
R
OI
i
m
ag
e
p
ar
t
an
d
n
o
t
to
co
m
p
lete
MRI
-
b
r
ain
i
m
a
g
e.
T
h
e
9
/7
lif
tin
g
s
c
h
e
m
e
b
ased
DW
T
r
ec
eiv
es
th
e
tex
t
f
ile
t
h
r
o
u
g
h
te
s
t
-
ca
s
es.
Sp
lit
t
h
e
R
OI
i
m
a
g
e
p
ix
els
to
ev
e
n
a
n
d
o
d
d
co
m
p
o
n
en
ts
.
T
h
e
p
r
ed
ictio
n
f
o
llo
w
ed
b
y
u
p
d
atin
g
is
p
er
f
o
r
m
in
g
alo
n
g
w
ith
M
u
lti
p
licatio
n
o
f
9
/7
lif
tin
g
co
ef
f
icien
t
s
u
s
i
n
g
W
a
llace
-
tr
ee
o
r
Ved
ic
Mu
ltip
lier
.
T
h
e
lo
w
a
n
d
h
i
g
h
p
ass
co
m
p
o
n
en
t
s
ar
e
g
e
n
er
ated
an
d
r
ep
ea
t
th
e
s
a
m
e
p
r
o
ce
s
s
to
r
ec
o
n
s
tr
u
ct
th
e
R
OI
i
m
ag
e.
I
n
th
e
n
ex
t
s
ec
tio
n
,
a
d
etailed
d
is
cu
s
s
io
n
o
f
th
e
De
s
ig
n
a
n
d
w
o
r
k
i
n
g
is
elab
o
r
ated
.
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
.
4
,
A
u
g
u
s
t 2
0
1
9
:
2
4
3
3
-
2442
2436
3.
P
RO
P
O
SE
D
DE
SI
G
N
T
h
e
p
r
o
p
o
s
ed
d
esig
n
is
to
p
er
f
o
r
m
t
h
e
R
OI
i
m
a
g
e
co
m
p
r
ess
io
n
u
s
in
g
W
allac
e
-
tr
ee
a
n
d
Ved
ic
Mu
ltip
lier
.
T
h
e
f
o
llo
w
i
n
g
Fig
u
r
e
2
,
in
d
icate
s
t
h
e
h
ar
d
w
ar
e
r
ep
r
esen
tatio
n
o
f
p
r
o
p
o
s
ed
liftin
g
s
c
h
e
m
e
b
ased
1D
-
DW
T
u
s
in
g
W
M
o
r
VM
.
C
o
m
p
ar
e
to
co
m
p
lete
MRI
-
B
r
ian
i
m
ag
e,
R
OI
p
o
r
tio
n
i
m
ag
e
co
m
p
r
es
s
io
n
h
as a
n
en
o
r
m
o
u
s
ad
v
a
n
ta
g
e
w
it
h
f
as
t
co
m
p
u
tat
io
n
,
les
s
r
eso
u
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:
4
]
[
7
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0
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[
7
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4
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4
0
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[
3
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Fig
u
r
e
4
.
P
r
o
p
o
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ed
8
X8
Ved
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l
tip
lier
A
p
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e
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o
8
-
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ts
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0
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to
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r
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tical
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r
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er
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
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&
C
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p
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n
g
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Vo
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9
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No
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4
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A
u
g
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s
t 2
0
1
9
:
2
4
3
3
-
2442
2438
4.
RE
SU
L
T
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A
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AL
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SI
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ased
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d
Ved
ic
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ltip
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r
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lts
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d
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6
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n
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ile
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p
p
l
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ex
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ile
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ig
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t
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i
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r
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Fig
u
r
e
5
.
5(
a)
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r
ain
MRI
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i
n
p
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t i
m
a
g
e,
5
(
b
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1
D
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s
in
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tr
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ip
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s
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Ved
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r
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ased
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Desig
n
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s
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ig
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iz
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it
p
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7
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e
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iv
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n
to
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8
7
0
a
d
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r
ess
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o
r
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en
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n
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o
d
d
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ter
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m
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atio
n
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th
e
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b
it
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w
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g
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o
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t)
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ass
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m
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t
s
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e
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ated
.
Fig
u
r
e
6
.
Si
m
u
latio
n
R
es
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lt
s
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f
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B
ased
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s
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g
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allac
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T
r
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Fig
u
r
e
7
.
Si
m
u
latio
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lt
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ased
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s
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Ved
ic
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u
ltip
lier
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
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lec
&
C
o
m
p
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n
g
I
SS
N:
2
0
8
8
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8708
A
n
efficien
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p
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ch
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f R
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mu
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(
V
ija
ya
S
.
M
.
)
2439
T
h
e
R
OI
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B
ased
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T
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W
M
an
d
DW
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-
VM
R
esu
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ig
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r
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h
e
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if
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t
2
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ize
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u
r
e
8
.
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ased
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s
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allac
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tr
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u
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W
M)
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d
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ase
d
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ize
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Ob
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ased
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ter
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1
8
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1
5
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3
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u
r
e
9
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ased
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ased
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ased
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I
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N
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8
8
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ased
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ased
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ased
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m
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a
s
t c
o
m
p
u
tatio
n
o
n
FP
G
A
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
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lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
A
n
efficien
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a
p
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ch
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f R
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…
(
V
ija
ya
S
.
M
.
)
2441
RE
F
E
R
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NC
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S
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c
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(
ICCED),
2
0
1
7
In
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
.
I
EE
E,
2
0
1
7
.
[6
]
A
sh
w
in
i,
K.,
R.
Am
u
th
a
,
a
n
d
K.
Ha
rin
i.
"
S
p
a
rse
b
a
se
d
i
m
a
g
e
c
o
m
p
re
ss
io
n
in
w
a
v
e
let
d
o
m
a
in
,
"
S
ig
n
a
l
Pro
c
e
ss
in
g
a
n
d
Co
mm
u
n
ica
t
io
n
(
ICS
PC),
2
0
1
7
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
.
I
EE
E,
2
0
1
7
.
[7
]
Ra
g
h
a
v
e
n
d
ra
,
C.
,
S
.
S
iv
a
su
b
ra
m
a
n
ian
,
a
n
d
A
.
Ku
m
a
r
a
v
e
l.
"
I
m
p
r
o
v
e
d
ima
g
e
c
o
m
p
re
ss
io
n
u
sin
g
e
ff
e
c
ti
v
e
lo
ss
les
s
c
o
m
p
re
ss
io
n
tec
h
n
iq
u
e
,
"
Clu
ste
r
Co
mp
u
t
in
g
:
1
-
6
,
S
p
r
in
g
e
r.
[8
]
S
u
g
a
n
y
a
,
S
.
D.,
M
.
Ra
jas
e
k
h
a
r
R
e
d
d
y
,
a
n
d
N.
M
a
d
h
u
S
u
d
a
n
a
Ra
o
.
"
In
c
re
a
sin
g
th
e
q
u
a
li
ty
o
f
r
e
c
o
n
stru
c
ted
im
a
g
e
th
ro
u
g
h
h
y
b
rid
c
o
m
p
re
ss
io
n
te
c
h
n
iq
u
e
,
"
2
0
1
7
In
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
En
e
rg
y
,
C
o
mm
u
n
ica
ti
o
n
,
Da
t
a
An
a
lytics
a
n
d
S
o
ft
C
o
mp
u
ti
n
g
(
ICECDS
)
.
IEE
E,
2
0
1
7
.
[9
]
Re
d
d
y
,
B.
V
e
n
k
a
tes
wa
ra
,
P
.
Bh
a
sk
a
ra
Re
d
d
y
,
P
.
S
a
tee
sh
Ku
m
a
r,
a
n
d
A
.
S
a
tee
sh
Re
d
d
y
.
"
L
o
ss
les
s
c
o
m
p
re
ss
io
n
o
f
m
e
d
i
c
a
l
i
m
a
g
e
s
f
o
r
b
e
tt
e
r
d
iag
n
o
sis,
"
In
Ad
v
a
n
c
e
d
Co
mp
u
ti
n
g
(
IACC),
2
0
1
6
IEE
E
6
th
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
,
p
p
.
4
0
4
-
4
0
8
.
IEE
E,
2
0
1
6
.
[1
0
]
S
e
n
g
u
p
ta,
A
n
irb
a
n
,
a
n
d
Di
p
a
n
jan
Ro
y
.
"
M
a
th
e
m
a
ti
c
a
l
Va
li
d
a
ti
o
n
o
f
HW
T
B
a
se
d
Lo
ss
les
s
Im
a
g
e
Co
m
p
re
ss
io
n
,
"
Na
n
o
e
lec
tro
n
ic
a
n
d
In
f
o
rm
a
ti
o
n
S
y
ste
ms
(
iNIS
),
2
0
1
7
IEE
E
I
n
ter
n
a
t
io
n
a
l
S
y
mp
o
siu
m
o
n
.
IEE
E,
2
0
1
7
.
[1
1
]
De
v
a
d
o
ss
,
C.
P
e
ter,
a
n
d
B.
S
a
n
k
a
ra
g
o
m
a
th
i.
"
N
e
a
r
lo
ss
les
s
m
e
d
ica
l
i
m
a
g
e
c
o
m
p
re
ss
io
n
u
sin
g
b
lo
c
k
B
WT
–
M
T
F
a
n
d
h
y
b
rid
f
ra
c
tal
c
o
m
p
re
ss
io
n
tec
h
n
iq
u
e
s,
"
Clu
ste
r Co
mp
u
ti
n
g
(2
0
1
8
):
1
-
9
,
S
p
ri
n
g
e
r.
[1
2
]
G
ra
il
u
,
Ha
d
i.
"
Tex
tu
a
l
i
m
a
g
e
c
o
m
p
re
ss
io
n
a
t
lo
w
b
it
ra
tes
b
a
s
e
d
o
n
re
g
io
n
-
of
-
in
tere
st
c
o
d
in
g
,
"
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
n
Do
c
u
me
n
t
A
n
a
lys
is
a
n
d
Rec
o
g
n
it
i
o
n
(
IJ
DAR)
1
9
,
n
o
.
1
(
2
0
1
6
):
6
5
-
8
1
.
[1
3
]
S
rid
h
a
r,
V.
"
V
CA
R:
V
e
d
ic
C
o
m
p
re
ss
io
n
A
lg
o
rit
h
m
o
v
e
r
Re
g
io
n
o
f
in
tere
st
o
n
ra
d
io
l
o
g
ica
l
im
a
g
e
,
"
In
Eme
rg
i
n
g
Res
e
a
rc
h
in
El
e
c
tro
n
ics
,
C
o
mp
u
t
e
r
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
lo
g
y
(
I
CER
ECT
),
2
0
1
5
In
ter
n
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
,
p
p
.
137
-
1
4
2
.
IEE
E,
2
0
1
5
.
[1
4
]
Ku
m
a
r,
J.
V
in
o
t
h
,
a
n
d
C.
K
u
m
a
r
Ch
a
rli
e
P
a
u
l
.
"
De
sig
n
o
f
m
o
d
if
ie
d
v
e
d
ic
m
u
lt
ip
li
e
r
a
n
d
F
P
G
A
i
m
p
lem
e
n
tatio
n
i
n
m
u
lt
il
e
v
e
l
2
d
-
DWT
f
o
r
ima
g
e
p
ro
c
e
ss
in
g
a
p
p
li
c
a
ti
o
n
s,
"
In
Cu
r
re
n
t
T
re
n
d
s
in
En
g
i
n
e
e
rin
g
a
n
d
T
e
c
h
n
o
lo
g
y
(
ICCT
ET
),
2
0
1
4
2
n
d
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
,
p
p
.
5
0
8
-
5
1
1
.
I
E
EE
,
2
0
1
4
.
[1
5
]
Ha
m
z
a
h
,
F
a
iro
z
a
Am
ira
Bin
ti
,
T
a
ich
i
Yo
sh
i
d
a
,
a
n
d
M
a
sa
h
ir
o
Iw
a
h
a
sh
i.
"
F
o
u
r
-
d
im
e
n
sio
n
a
l
im
a
g
e
c
o
m
p
re
ss
io
n
w
it
h
re
g
io
n
o
f
in
tere
st
b
a
se
d
o
n
n
o
n
-
se
p
a
ra
b
le
d
o
u
b
le
li
f
ti
n
g
in
teg
e
r
wa
v
e
l
e
t
tran
sf
o
r
m
,
"
Asia
-
Pa
c
if
ic
S
ig
n
a
l
a
n
d
In
fo
rm
a
t
io
n
Pro
c
e
ss
in
g
Asso
c
ia
ti
o
n
A
n
n
u
a
l
S
u
mm
it
a
n
d
Co
n
fer
e
n
c
e
(
AP
S
IPA
AS
C),
2
0
1
7
.
IE
EE
,
2
0
1
7
.
[1
6
]
Ch
a
k
ra
b
o
rty
,
S
rij
a
,
Ay
a
n
Ba
n
e
rj
e
e
,
S
a
n
d
e
e
p
KS
G
u
p
ta,
a
n
d
P
h
i
li
p
R.
Ch
riste
n
se
n
.
"
Re
g
io
n
o
f
in
tere
st
a
wa
re
c
o
m
p
re
ss
i
v
e
se
n
sin
g
o
f
T
HEM
IS
ima
g
e
s
a
n
d
it
s
r
e
c
o
n
stru
c
ti
o
n
q
u
a
li
ty
,
"
In
2
0
1
8
IEE
E
Aer
o
sp
a
c
e
Co
n
fer
e
n
c
e
.
IEE
E,
2
0
1
8
.
[1
7
]
S
h
a
k
y
a
,
Am
it
Ku
m
a
r,
Ay
u
sh
m
a
n
Ra
m
o
la,
a
n
d
De
e
p
a
k
Ch
a
n
d
e
r
P
a
n
d
e
y
.
"
P
o
ly
g
o
n
a
l
re
g
io
n
o
f
in
tere
st
-
ba
se
d
c
o
m
p
re
ss
io
n
o
f
DICO
M
im
a
g
e
s,
"
Co
mp
u
ti
n
g
,
Co
mm
u
n
ica
ti
o
n
a
n
d
A
u
to
m
a
ti
o
n
(
ICCCA),
2
0
1
7
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
.
IEE
E,
2
0
1
7
.
[1
8
]
Ye
e
,
Da
v
id
,
S
a
ra
S
o
lt
a
n
i
n
e
jad
,
D
e
b
o
rsiHa
z
a
rik
a
,
G
a
y
lo
rd
M
b
u
y
i,
Rish
i
Ba
rn
w
a
l,
a
n
d
A
n
u
p
Ba
s
u
.
"
M
e
d
ica
l
im
a
g
e
c
o
m
p
re
ss
io
n
b
a
se
d
o
n
re
g
io
n
o
f
i
n
tere
st
u
sin
g
b
e
tt
e
r
p
o
rtab
le
g
ra
p
h
ics
(BP
G
),
"
In
S
y
ste
ms
,
M
a
n
,
a
n
d
Cy
b
e
rn
e
ti
c
s
(
S
M
C),
2
0
1
7
IEE
E
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
,
p
p
.
2
1
6
-
2
2
1
.
IEE
E,
2
0
1
7
.
[1
9
]
Ka
n
a
k
a
tt
e
,
A
p
a
rn
a
,
Ra
k
sh
it
h
S
u
b
ra
m
a
n
y
a
,
A
sh
ik
De
la
m
p
a
d
y
,
R
a
jara
m
a
N
a
y
a
k
,
Ba
la
m
u
ra
li
d
h
a
r
P
u
ru
s
h
o
t
h
a
m
a
n
,
a
n
d
Ja
y
a
v
a
rd
h
a
n
a
G
u
b
b
i.
"
Clo
u
d
so
lu
ti
o
n
f
o
r
h
isto
p
a
t
h
o
l
o
g
ica
l
im
a
g
e
a
n
a
l
y
sis
u
sin
g
re
g
io
n
o
f
in
tere
st
-
b
a
se
d
c
o
m
p
re
ss
io
n
,
"
In
En
g
in
e
e
rin
g
i
n
M
e
d
icin
e
a
n
d
Bi
o
lo
g
y
S
o
c
ie
ty
(
EM
BC),
2
0
1
7
3
9
t
h
A
n
n
u
a
l
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
f
th
e
IEE
E
,
p
p
.
1
2
0
2
-
1
2
0
5
.
IEE
E,
2
0
1
7
.
[2
0
]
M
a
y
e
,
G
.
Kira
n
,
a
n
d
T
.
S
ri
n
iv
a
su
lu
.
"
V
L
S
I
a
rc
h
i
tec
tu
re
f
o
r
c
o
h
e
re
n
t
9
/
7
li
f
ti
n
g
b
a
se
d
2
D
-
d
i
sc
re
te
w
a
v
e
let
tran
sf
o
r
m
,
"
In
In
d
i
a
Co
n
fer
e
n
c
e
(
INDICO
N),
2
0
1
5
An
n
u
a
l
IEE
E
,
p
p
.
1
-
6
.
IEE
E,
2
0
1
5
.
[2
1
]
Bh
o
sa
le,
Na
y
n
a
V
ij
a
y
k
u
m
a
r,
a
n
d
S
u
d
h
ir
S
.
Ka
n
a
d
e
.
"
2
D
DW
T
li
f
ti
n
g
im
a
g
e
c
o
m
p
re
s
sio
n
sc
h
e
m
e
fo
r
e
rro
r
to
lera
n
t
a
p
p
li
c
a
ti
o
n
s,
"
2
0
1
7
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
In
tell
ig
e
n
t
S
u
sta
i
n
a
b
le
S
y
ste
ms
(
ICIS
S
)
.
IEE
E,
2
0
1
7
.
[2
2
]
S
w
a
m
i,
S
h
w
e
t
a
S
.
,
a
n
d
A
lt
a
f
O.
M
u
la
n
i.
"
A
n
e
ff
icie
n
t
F
P
GA
im
p
le
m
e
n
tatio
n
o
f
d
isc
re
te
w
a
v
e
l
e
t
tran
sf
o
rm
f
o
r
im
a
g
e
c
o
m
p
re
ss
io
n
,
"
2
0
1
7
I
n
te
rn
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
En
e
r
g
y
,
Co
mm
u
n
ica
ti
o
n
,
D
a
ta
An
a
lytics
a
n
d
S
o
ft
Co
mp
u
t
in
g
(
ICECDS
)
.
IEE
E
,
2
0
1
7
.
[2
3
]
G
a
d
a
k
h
,
S
.
N.,
a
n
d
A
.
S
.
Kh
a
d
e
.
"
F
P
GA
i
m
p
le
m
e
n
tatio
n
o
f
h
ig
h
sp
e
e
d
v
e
d
ic
m
u
lt
ip
li
e
r,
"
(2
0
1
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r
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tere
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m
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v
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p
u
u
n
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rsity
.
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se
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y
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rk
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g
a
s
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i
p
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g
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&
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c
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.
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h
a
s
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r
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r
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re
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o
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tere
st
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r
e
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Dig
it
a
l
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ig
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l
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a
g
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,
M
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lt
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n
a
l
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c
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g
,
V
L
S
I
f
o
r
DS
P
,
S
p
e
c
tru
m
A
n
a
l
y
sis.
H
e
h
a
s
p
u
b
li
s
h
e
d
o
v
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r
1
5
I
n
tern
a
ti
o
n
a
l
j
o
u
r
n
a
l
p
a
p
e
rs.
Evaluation Warning : The document was created with Spire.PDF for Python.