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ap
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in
ter
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tech
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iq
u
e
[
1
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,
w
e
ig
h
t
co
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f
f
icien
t
tec
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n
iq
u
e
[
2
]
,
in
ter
ac
ti
v
e
in
ter
p
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latio
n
m
et
h
o
d
[
3
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,
b
a
s
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n
v
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to
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[
4
]
,
an
d
s
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n
in
an
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m
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w
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o
w
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ter
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tec
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i
s
b
ili
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r
in
ter
p
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tech
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iq
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e
[
5
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th
at
b
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n
g
s
to
th
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ter
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d
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CF
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F
ig
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G
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12
G
13
R
14
G
15
R
16
B
21
G
22
B
23
G
24
B
25
G
26
G
31
R
32
G
33
R
34
G
35
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36
B
41
G
42
B
43
G
44
B
45
G
46
G
51
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52
G
53
R
54
G
55
R
56
B
61
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62
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63
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64
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65
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Fig
u
r
e
1
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atter
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u
s
ed
f
ilter
o
u
t
n
o
is
e
in
ter
p
o
latio
n
m
et
h
o
d
b
ased
o
n
g
r
ad
ien
t
in
an
o
p
ti
m
ized
w
a
y
to
av
o
id
n
o
is
e
o
n
th
e
co
lo
u
r
r
ec
o
v
er
y
in
f
l
u
en
ce
.
T
h
is
m
et
h
o
d
h
as
w
id
e
ap
p
licatio
n
in
d
ef
e
n
ce
a
n
d
civ
il
s
ec
t
o
r
s
w
h
ich
i
m
p
r
o
v
es
t
h
e
s
i
g
n
a
l
to
n
o
is
e
r
atio
o
f
a
co
lo
u
r
i
m
ag
e
a
n
d
h
as a
w
id
e
a
p
p
licatio
n
p
r
o
s
p
ec
t.
RE
F
E
R
E
NC
E
S
[1
]
Ha
ij
ian
g
S
u
n
a
n
d
Ya
n
ji
e
W
a
n
g
,
“
Co
lo
u
r
F
il
terin
g
M
e
th
o
d
f
o
r
CF
A
I
m
a
g
e
s
Ba
se
d
o
n
G
ra
d
ien
t
”
,
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Co
mm
u
n
ica
t
io
n
S
y
ste
ms
a
n
d
Ne
two
rk
T
e
c
h
n
o
l
o
g
ies
,
2
0
1
2
.
[2
]
J.
E.
A
d
a
m
s,
“
D
e
sig
n
o
f
P
ra
c
ti
c
a
l
Co
lo
u
r
F
il
ter
A
rra
y
In
terp
o
latio
n
A
l
g
o
rit
h
m
s
f
o
r
Dig
it
a
l
Ca
m
e
ra
s
”
,
IEE
E
,
Ima
g
e
Pro
c
e
ss
in
g
,
C
h
ica
g
o
,
v
o
l.
1
,
p
p
.
4
8
8
-
4
9
2
,
1
9
9
8
.
[3
]
P
a
la
M
a
h
e
sh
K
u
m
a
r
,
“
S
a
telli
te
Im
a
g
e
De
n
o
isin
g
u
sin
g
L
o
c
a
l
S
p
a
y
e
d
a
n
d
Op
ti
m
ize
d
Ce
n
ter
P
i
x
e
l
Weig
h
ts
”
,
In
te
rn
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
E
lec
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
4
,
n
o
.
5
,
p
p
.
7
5
1
-
7
5
7
,
2
0
1
4
.
[4
]
Ja
n
A
e
lt
e
r
m
a
n
,
e
t
a
l
,
“
L
o
c
a
ll
y
A
d
a
p
ti
v
e
Co
m
p
lex
wa
v
e
l
e
t
-
b
a
se
d
D
e
m
o
sa
icin
g
f
o
r
c
o
lo
u
r
f
il
ter
a
rra
y
I
m
a
g
e
s
”
,
S
PIE
W
a
v
e
let
Ap
p
li
c
a
ti
o
n
s
in
I
n
d
u
stria
l
Pro
c
e
ss
in
g
VI
,
S
a
n
Jo
se
.
C
A
.
US
A
,
Ja
n
u
a
r
y
2
0
0
9
,
v
o
l.
7
2
4
8
,
p
p
.
7
2
4
8
0
j
1
-
7
2
4
8
0
j
1
2
.
[5
]
B.
K.
G
u
n
tu
rk
,
e
t
a
l
,
“
Co
l
o
u
r
p
l
a
n
e
I
n
terp
o
latio
n
u
si
n
g
A
lt
e
rn
a
ti
n
g
P
r
o
jec
ti
o
n
s
”
,
IEE
E
T
ra
n
s
a
c
ti
o
n
s
o
n
Ima
g
e
Pro
c
e
ss
in
g
.
A
tl
a
n
ta,
2
0
0
2
,
v
o
l.
1
1
,
n
o
.
9
,
p
p
.
9
9
7
-
1
0
1
3
.
[6
]
B.
K.
G
u
n
tu
rk
,
e
t
a
l
,
“
De
m
o
sa
i
c
k
in
g
:
Co
lo
u
r
F
il
ter
A
rra
y
In
ter
p
o
lati
o
n
”
,
IEE
E
,
S
ig
n
a
l
P
ro
c
e
ss
in
g
M
a
g
a
z
in
e
,
Ja
n
u
a
ry
2
0
0
5
.
[7
]
R.
G
.
Ke
y
s,
e
t
a
l
,
“
Cu
b
ic
Co
n
v
o
l
u
ti
o
n
I
n
terp
o
lati
o
n
f
o
r
Dig
it
a
l
Im
a
g
e
P
ro
c
e
ss
in
g
”
,
IEE
E
T
r
a
n
sa
c
ti
o
n
s
o
n
Ac
o
u
stic
,
S
p
e
e
c
h
a
n
d
S
i
g
n
a
l
Pr
o
c
e
ss
in
g
,
T
u
lsa
,
1
9
8
1
,
v
o
l
.
29
,
p
p
.
1
1
5
3
-
1
1
6
0
.
[8
]
S
o
o
-
C
h
a
n
g
P
e
i
,
“
Ef
f
e
c
ti
v
e
Co
lo
u
r
In
ter
p
o
lati
o
n
in
CCD
C
o
lo
u
r
F
il
ter
A
rra
y
s
Us
in
g
S
ig
n
a
l
Co
rre
latio
n
”
,
IEE
E
T
ra
n
sa
c
ti
o
n
s O
n
Circ
u
i
ts
An
d
S
y
ste
ms
Fo
r V
id
e
o
T
e
c
h
n
o
l
o
g
y
,
v
o
l.
1
3
,
n
o
.
6
,
p
p
.
5
0
3
-
5
1
3
,
2
0
0
3
.
[9
]
R.
H.
Hib
b
a
rd
,
“
A
p
p
a
ra
tu
s
a
n
d
M
e
th
o
d
f
o
r
A
d
a
p
ti
v
e
l
y
In
terp
o
l
a
ti
n
g
a
f
u
ll
c
o
lo
u
r
Im
a
g
e
Util
iz
in
g
L
u
m
in
a
n
c
e
G
ra
d
ien
ts
”
,
U.S
,
P
a
ten
t
5
,
3
8
2
,
9
7
6
,
1
9
9
5
.
[1
0
]
C.
A
.
L
a
ro
c
h
e
a
n
d
M
.
A
.
P
re
sc
o
tt
,
“
A
p
p
a
ra
tu
s
a
n
d
M
e
th
o
d
f
o
r
A
d
a
p
ti
v
e
l
y
In
terp
o
lati
n
g
a
f
u
l
l
c
o
lo
u
r
Im
a
g
e
Util
izin
g
Ch
r
o
m
in
a
n
c
e
G
r
a
d
ien
ts
”
,
U.S
,
P
a
ten
t
5
,
3
7
3
,
32
2
,
De
c
.
1
9
9
4
.
[1
1
]
BA
S
L
ER
A
.
2
0
1
b
c
Us
e
r’s M
a
n
u
a
l.
ww
w
.
b
a
sle
r
-
v
c
.
c
o
m
，
2
0
0
5
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
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er
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Evaluation Warning : The document was created with Spire.PDF for Python.