[[abstract]]This research aims to present an adaptive demosaicing algorithm for Bayer pattern images of single-sensor digital still cameras. The proposed algorithm uses an iterative strategy to update the values of color planes. Although the iterative strategies are capable of achieving higher image quality in the demosaiced image, its computation is still too much. In order to reduce computational complexity, an improved initial interpolation is suggested to reduce the zipper effects of a demosaiced image and an adaptive refinement interpolation is suggested to speed up the execution of demosaicing. Experiment results indicate that the PSNRs of the proposed method are higher than the state-of-the-art demosaicing methods. Furthermore, the computational cost of the proposed method is less than that of previous iterative algorithms.
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