Joint deconvolution and demosaicing

Authors:
Ferréol Soulez;Éric Thiébaut
Affiliations:
Centre de Recherche Astrophysique de Lyon, CNRS, UMR, Université Lyon 1, France and Laboratoire CNDRI, INSA Lyon, France and Laboratoire Hubert Curien, CNRS, UMR, Université Jean Monnet, ...;Centre de Recherche Astrophysique de Lyon, CNRS, UMR, Université Lyon 1, France
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

We present a new method to jointly perform deblurring and colordemosaicing of RGB images. Our method is derived following an inverse problem approach in a MAP framework. To avoid noise amplification and allow for interpolation of missing data, we make use of edge-preserving spatial regularization and spectral regularization. We demonstrate the improvements brought by our algorithm by processing both simulated and real RGB images obtained with a Bayer's color filter and with different types of blurring.