Estimating demosaicing algorithms using image noise variance
Jun Takamatsu, Yasuyuki Matsushita, Tsukasa Ogasawara, Katsushi Ikeuchi · 2010
We propose a method for estimating demosaicing algorithms from image noise variance. We show that the noise variance in interpolated pixels becomes smaller than that of directly observed pixels without interpolation. Our method capitalizes on the spatial variation of image noise variance in demosaiced images to estimate the color filter array patterns and demosaicing algorithms. We verify the effectiveness of the proposed method using various images demosaiced with different demosaicing algorithms extensively.