Regularized Iterative Restoration of Combined Optical and Color Filter Array Degradation

摘要

This paper presents an image formation model of a digital camera with consideration of both optical and the Bayer color filter array (CFA) degradations. Based on the proposed model, a regularized iterative image restoration algorithm is presented to deconvolve the space-variant image degradation. The spatially adaptive version further improves the restoration quality. Hardware implementation issues are briefly summarized, and future modification plan is presented.