Color space transformation (or color correction) needs to be performed in typical imaging devices because the spectral sensitivity functions of the sensors deviate from the ideal. Several researchers have shown that when the color channels are correlated, color correction can result in sensor noise amplification. In this paper, we describe a color correction method that significantly alleviates the problem of noise amplification. The key idea is to use spatially varying color correction (SVCC) that adapts to local image statistics. We show experimental results that illustrate the reduction of noise when color correction is performed.
SukHwan Lim, Amnon Silverstein, "Spatially Varying Color Correction (SVCC) Matrices for Reduced Noise" in Proc. IS&T 12th Color and Imaging Conf., 2004, pp 76 - 81, https://doi.org/10.2352/CIC.2004.12.1.art00015