Effective Color Interpolation in CCD Color Filter Arrays Using Signal Correlation 作者 : Soo-Chang...
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![Page 1: Effective Color Interpolation in CCD Color Filter Arrays Using Signal Correlation 作者 : Soo-Chang Pei, Io-Kuong Tam 出處 : IEEE TRANSACTIONS ON CIRCUITS AND.](https://reader035.fdocuments.us/reader035/viewer/2022062221/56649c755503460f94928f12/html5/thumbnails/1.jpg)
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Effective Color Interpolation in CCD Color Filter Arrays Using Signal Correlation
作者 :Soo-Chang Pei, Io-Kuong Tam
出處 : IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 13, NO. 6, JUNE 2003
報告人 :董文豪日期 :2011/05/04
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Outline
Introduction Color Filter Arrays ( CFA ) Conventional interpolation methods
BilinearEdge-sensing interpolation
Proposed interpolation method Experiment results
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Introduction
The authors propose an effective color filter array (CFA) interpolation method for digital still cameras using a simple image model that correlates the R,G,B channels.
A low-complexity interpolation method to improve the image quality.
![Page 4: Effective Color Interpolation in CCD Color Filter Arrays Using Signal Correlation 作者 : Soo-Chang Pei, Io-Kuong Tam 出處 : IEEE TRANSACTIONS ON CIRCUITS AND.](https://reader035.fdocuments.us/reader035/viewer/2022062221/56649c755503460f94928f12/html5/thumbnails/4.jpg)
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Color Filter Arrays -CFA ( 1/2 )
Three-CCD structure for a DSC.
Single-CCD structure for a DSC.
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Color Filter Arrays -CFA ( 1/2 )
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Conventional interpolation methods ( 1/4 )
Bilinear
R7
G3
G6
G11
B2 B4
B12B10
G8
R1
R5
R13
R9
G’7=
G3+G6+G8+G11 4
R’3= R1+R7 2
B’7=B2+B4+B10+B12 4
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Conventional interpolation methods ( 2/4 )
Bilinear
H H
H H
H H
H H
L L
L
L L
L L
L
Vertical edge patterns
An obvious error is produced and the edge pattern is destroyed.
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∆H=|G6 - G8| , ∆V=|G3 – G11|,
If ( ∆H < T ) and ( ∆V > T ) ,
G’7 = G’7H ,
else if ( ∆V < T ) and ( ∆H > T ) ,
G’7 = G’7V
else
G’7 = G’7A
R1
B2 G3 B4
R5 G6 R7 G8 R9
B10 G11 B12
R13
G3
G11
G8G6
Conventional interpolation methods ( 3/4 )
Edge-sensing interpolation ( G )
R13
R1 G’7H=
G’7V=
G’7A=
G6 + G8 2
G3 + G11 2
G3 + G6 + G8 + G11 4
B12
B4
R9R7R5
B2
B10
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Conventional interpolation methods ( 4/4 )
Edge-sensing interpolation ( R,B )
G3
G6 G8
G11
R1
R5
R13
R9
G11
G8
G3B2 B4
B12B10
R7G6
HB = B G
, HR
=
R G
B’3 = B 2 G’2
( + ) /2B 4 G’4 ( )
G3 2
B’7 = ( + + + ) /4B 2 G’2
B 4 G’4
B10 G’10
B 12 G’12
( )G’7 4
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Proposed interpolation method ( 1/3 )
Above two methods use only the existing G channel neighborhood information to find the missing G values.
There is a high correlation between the R,G,B channels.
The G channel can take advantage of the R and B information.
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Proposed interpolation method ( 2/3 )
G channel image KR channel image KB channel image
KR = G – R
KB = G – B
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Proposed interpolation method ( 3/3 )
G3
R9R5 R7
R1
R13
B2 B4
B10 B12G11
G6 G8
G’7 =R7+( K’R3 + K’R6 + K’R8 + K’R11 ) /4
= R7 + [ G3 - (R7+R1) +
G6 - (R7+R5) + G8 - (R7+R9) +
G11- (R7+R13)]
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12121212
= R7+ ( G3+G6+G8+G11 )
- ( R1+R5+R9+R13 )
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G Channel InterpolationR,B Channel Interpolation
R’3 = G3 - ( K’R1 + K’R7 )12
B’7=
G’7- ( K’B2+ K’B4+ K’B10+ K’B12 )14
KR = G – R
KB = G – B
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Experiment results ( 1/2 )
PSNR OF THE INTERPOLATED RESULTS
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Experiment results ( 2/2 )
COMPLEXITY COMPARISON
G’7 = R7+ ( G3+G6+G8+G11 )
- ( R1+R5+R9+R13 )
12
14
18
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The end