Atomic decomposition dedicated to AVC and spatial SVC prediction

This work, we propose the use of sparse signal representation techniques to solve the problem of closed-loop spatial image prediction. The reconstruction of signal in the block to predict is based on basis functions selected with the matching pursuit (MP) iterative algorithm, to best match a causal neighborhood. We evaluate this new method in terms of PSNR and bitrate in a H.264/AVC encoder. Experimental results indicate an improvement of rate-distortion performance. In this paper, we also present results concerning the use of this technique for intra-inter layer prediction refinement, in a scalable video coding (SVC) like scheme.