A multi-resolution, geometry-driven error concealment method for corrupted JPEG color images

In this article, we propose a new multi-resolution, geometry-driven error concealment method for missing data recovery on gray-level and color JPEG images. Beside JPEG applications, our algorithm can also be used for any block-based compression scheme, including MPEG. It requires no extra redundancy bits nor source–destination interactions, as opposed to classical FEC/ARQ schemes. The reconstruction process consists in interpolating error-free decoded spatial information into corrupted areas, using the actual geometry of local structures. In addition, a multi-resolution scheme is used to organize the recovery process, from coarse to fine structures, and achieve better performances in terms of approximation and computation time. We will demonstrate that our model can also be used to conceal quantization errors (compression artifacts).