A novel color interpolation algorithm by pre-estimating minimum square error

A novel color interpolation algorithm for the color filter array (CFA) in digital still cameras (DSCs) is presented. The paper introduces pre-estimating of the minimum square error to address the color interpolation for CFA. In order to estimate the missing pixels in the Bayer CFA pattern, the weights of adjacent color pattern pairs are decided by matrix computation. We adopt the color model (K/sub R/, K/sub B/) used in many color interpolation algorithms for CFA. The proposed algorithm can achieve better performance, as shown in the experimental results. Compared with previous methods, the proposed color interpolation algorithm can provide a high quality image in DSCs.