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Spatially Varying Color Correction Matrices for Reduced Noise

Lim, Suk Hwan; Silverstein, Amnon


Keyword(s): color correction; image sensor; noise; digital photography

Abstract: 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 desired target color space. Several researchers have shown that when the color channels are correlated, color correction can result in sensor noise amplification [1-4]. 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 that adapts to local image statistics. We show experimental results that illustrate the reduction of noise when color correction is performed.

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