Noise Insensitive Demosaicing Algorithm

C. Kim, M. Kang, S. Cho, S. Oh, H. Park, and M. Park (Korea)


demosacing, denoising, Bayer CFA, digital camera


The problem of recovering full-color images from a noisy and color-sampled observation is considered in this paper. Instead of removing the sensor noise before or after the color interpolation step, we propose a novel technique to combine demosaicing and denoising procedures simultane ously. In order to avoid artifacts in high frequency regions and improve the performance, an edge indicator function is used and horizontal and vertical direction of edges are con sidered in the proposed method, while noise is simultane ously removed by adaptive denoising. As a postprocessing, the modified filteringon color difference domain is adopted to improve the quality of the image. Experimental results illustrate the benefits of the proposed method. When com pared to the conventional methods, the proposed method outperforms them on quantitative and qualitative criteria.

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