Fast color image restoration with multisensors

In this article, we consider restoring a single-color image from two degraded frames of the same scene by a RGB sensor and a luminance sensor. The RGB-to-YIQ transformation, the classical Tikhonov regularization and the Neumann boundary condition are used in the restoration process. Regularization based on generalized cross-validation function with multisensors is also used to obtain the high-quality restored image. The resulting method is shown to provide improved restoration over other restoration methods.