Click here for full text:
Spatially Varying Color Correction Matrices for Reduced Noise
Lim, Suk Hwan; Silverstein, Amnon
HPL-2004-99
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.
15 Pages
Back to Index
| 
Printable version
