Joint deconvolution and demosaicing

Ferréol Soulez (1, 2) , Éric Thiébaut (1)

1 CRAL - Centre de Recherche Astrophysique de Lyon
2 CNDRI - Controle Non Destructif par Rayonnements Ionisants

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.

Keywords: demosaicing; deconvolution; image reconstruction

Domains: Signal and Image processing; Signal and Image Processing

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