Digital image sensor outputs usually must be transformed to suit the human visual system. This color correction amplifies noise, thus reducing the signal-to-noise ratio (SNR) of the image. In subdiffraction-limit (SDL) pixels, where optical and carrier cross talk can be substantial, this problem can become significant when conventional color filter arrays (CFAs) such as the Bayer patterns (RGB and CMY) are used. We present the design and analysis of new color filter array patterns for improving the color error and SNR deterioration caused by cross talk in these SDL pixels. We demonstrate an improvement in the color reproduction accuracy and SNR in high cross-talk conditions. Finally, we investigate the trade-off between color accuracy and SNR for the different CFA patterns.
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Anzagira et al. (2014) studied this question.
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