Block dependent dictionary based disparity compensation for stereo image coding

With the recent advances in stereoscopic display technologies, there is a growing demand for designing efficient stereo image compression techniques. For this reason, a great attention should be paid to the disparity/estimation process used to generate the residual image. In this paper, we propose to improve the disparity compensation process in a typical closed-loop-based stereo image coding scheme. A new formulation of this process, based on a block dependent dictionary, is developed. More specifically, the main idea aims to link together the disparities yielding similar compensations and assign a common disparity candidate to each subset of disparities. Experimental results have shown the interest of the proposed method in terms of bitrate saving and quality of reconstruction.