Edge adaptive demosaicking in wavelet domain

To reduce cost and size, most commercial digital still cameras use a color filter array (CFA) with a specific shape to capture imagery. It captures pixels in groups of four, each group containing two green, one red and one blue sample. Since the image sensor of CFA pattern measure only one of primary color waves per pixel, the two missing colors are interpolated from surrounding samples in a process which is called demosaicking. In this paper, we present a demosaicking method that uses high frequency wavelet coefficients as weighting factors. In our method, the low frequency wavelet coefficients are obtained by the weighted average. The high frequency coefficients are estimated by the replace rule. We simulate our demosaicking method in the wavelet domain and compare our algorithm to the existing demosaicking schemes. The experimental results show that the proposed method can generate good demosaicking results.