A Generic Variational Framework for Demosaicking and Performance Analysis of Color Filter Arrays
Laurent Condat · 2008
Abstract — We propose a novel method for image demosaick-ing 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. Index Terms — Demosaicking, color filter array, variational reconstruction, regularized inverse problem I.