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Adaptive Least Squares Prediction for Stereo Image Coding

Lucas, L. ; Rodrigues, Nuno M. M. ; Silva, E. ; Faria, S.M.M.

Adaptive Least Squares Prediction for Stereo Image Coding, Proc IEEE International Conf. on Image Processing - ICIP, Brussels, Belgium, Vol. , pp. 2013 - 2016 , September, 2011.

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Abstract
State-of-the art approaches towards stereo image coding exploit inter-view redundancy by employing block-matching methods for disparity estimation and compensation. However, these methods lack efficiency in mismatched areas, due to occlusions, brightness variations, or perspective distortion between objects of the two views. In this paper we present a new approach for stereo coding combining an implicit disparity estimation method, with an adap- tive least squares (LS)-based filtering. Our primary objective is to demonstrate the potential of LS prediction in stereo image coding. Experimental results show that the proposed algorithm combined with Multidimensional Multiscale Parser image coding algorithm is able to outperform state-of-the-art H.264/AVC Stereo Profile, especially at medium and high bit rates.