Abstract :
Digital color cameras acquire color images by means of a sensor on which a color filter array (CFA) is overlaid. The Bayer CFA dominates the consumer market, but there has recently been a renewed interest for the design of CFAs . However, robustness to noise is often neglected in the design, though it is crucial in practice. In this paper, we present a new 2 × 3-periodic CFA which provides, by construction, the optimal tradeoff between robustness to aliasing, chrominance noise and luminance noise. Moreover, a simple and efficient linear demosaicking algorithm is described, which fully exploits the spectral properties of the CFA. Practical experiments confirm the superiority of our design, both in noiseless and noisy scenarios.
Keywords :
cameras; filtering theory; image colour analysis; image segmentation; bayer CFA; chrominance noise; color filter array; color images; digital color cameras; linear demosaicking algorithm; luminance noise; noisy color image acquisition; Color; Frequency modulation; Image color analysis; Noise; Pixel; Robustness; Sensitivity; Color filter array (CFA); color imaging; demosaicking; digital camera pipeline; luminance/chrominance basis; noise sensitivity; spatio-spectral sampling;