Color image and video restoration using tensor CP decomposition
Résumé
This paper proposes a new approach to image and video restoration. This approach constructs a degradation model based on a tensor representation, where a color image is represented by a third-order tensor, and a video composed of color images is a fourth-order tensor. Applying tensor CP decomposition to our original problem leads to three subproblems. To solve those subproblems, we apply global LSQR algorithm, and a new algorithm based on Golub Kahan bidiagonalization. Some numerical tests are presented to show the effectiveness of the proposed methods.