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Demosaicing by Smoothing along 1D Features
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| Citations: | 3 - 0 self |
BibTeX
@MISC{Ajdin_demosaicingby,
author = {Boris Ajdin and Matthias B. Hullin and Christian Fuchs and Hans-peter Seidel and Hendrik P. A. Lensch},
title = {Demosaicing by Smoothing along 1D Features},
year = {}
}
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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. 1.
Keyphrases
color channel stochastic global optimization color information demosaicing artifact cost function pixel position one-dimensional image feature pixel neighborhood novel bayer pattern optimization scheme hdr image image mosaic interpolation algorithm underlying cost function previous algorithm digital camera capture color picture previous approach
