A Generic Variational Framework for Demosaicking and Performance Analysis of Color Filter Arrays

Laurent Condat (1)

1 Equipe Image - Laboratoire GREYC - UMR6072

We propose a novel method for image demosaicking from samples obtained with a completely arbitrary color filter array (CFA). We adopt a variational approach where the reconstructed image has maximal smoothness under the constraint of consistency with the available measurements. This optimization problem boils down to a large, sparse system of linear equations to solve, for which we propose an iterative algorithm. Although the proposed approach is linear, it yields visually pleasing demosaicked images and provides a robust framework for comparing the performances of CFAs.

Mots clés: Demosaicking; color filter array; variational reconstruction; regularized inverse problem

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Laurent Condat. A Generic Variational Framework for Demosaicking and Performance Analysis of Color Filter Arrays. 2008. ⟨hal-00442046⟩