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CROSS-TALK EXPLAINED
被引:25
|作者:
Hirakawa, Keigo
[1
]
机构:
[1] Harvard Univ, Dept Stat, Cambridge, MA 02138 USA
关键词:
color image sensors;
cross-talk;
color correction;
color measurement;
spatio-spectral sampling;
D O I:
10.1109/ICIP.2008.4711845
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
The image sensor measurements are subject to degradation caused by the photon and electron leakage. The color image data acquired via a spatial subsampling procedure implemented as a color filter array is especially vulnerable to the ambiguation between neighboring pixels that measure different portions of the visible spectrum. This so-called "cross-talk" phenomenon is expected to become more severe as the electronics industry's trend to shrink the device footprint continues because the pixel sensors are more densely packed together. We show that an analysis of the mechanism underlying the cross-talk problem is surprisingly straightforward. Our comprehensive analysis admits a simple and effective color correction scheme for a given choice of color filter array in a digital camera.
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页码:677 / 680
页数:4
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