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Communication Dans Un Congrès Année : 2009

Joint deconvolution and demosaicing

Résumé

We present a new method to jointly perform deblurring and color- demosaicing of RGB images. Our method is derived following an inverse problem approach in a MAP framework. To avoid noise am- plification 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.
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Dates et versions

hal-00408220 , version 1 (29-07-2009)

Identifiants

  • HAL Id : hal-00408220 , version 1

Citer

Ferréol Soulez, Éric Thiébaut. Joint deconvolution and demosaicing. 16th International Conférence on Image Processing, Nov 2009, Le Caire, Egypt. 4p. ⟨hal-00408220⟩
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