Anzagira Leo, Fossum Eric R
J Opt Soc Am A Opt Image Sci Vis. 2015 Jan 1;32(1):28-34. doi: 10.1364/JOSAA.32.000028.
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.
数字图像传感器的输出通常必须进行转换以适应人类视觉系统。这种色彩校正会放大噪声,从而降低图像的信噪比(SNR)。在亚衍射极限(SDL)像素中,光学和载流子串扰可能很大,当使用诸如拜耳图案(RGB和CMY)之类的传统彩色滤光片阵列(CFA)时,这个问题可能会变得很严重。我们提出了新的彩色滤光片阵列图案的设计与分析,以改善这些SDL像素中由串扰引起的色彩误差和信噪比恶化。我们展示了在高串扰条件下色彩再现精度和信噪比的提高。最后,我们研究了不同CFA图案在色彩精度和信噪比之间的权衡。