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Abstract

Most digital cameras capture color pictures in the form of an image mosaic,
recording only one color channel at each pixel position. Therefore, an
interpolation algorithm needs to be applied to reconstruct the missing color
information. In this paper we present a novel Bayer pattern demosaicing
approach, employing stochastic global optimization performed on a pixel
neighborhood. We are minimizing a newly developed cost function that increases
smoothness along one-dimensional image features. While previous algorithms have
been developed focusing on LDR images only, our optimization scheme and the
underlying cost function are designed to handle both LDR and HDR images,
creating less demosaicing artifacts, compared to previous approaches.