Adaptive block-based disparity estimation algorithm using object disparity homogeneity

In this paper, effective algorithms for stereoscopic video coding and multi-view coding which are used in 3DAV coding are proposed. In the proposed algorithm, we refer to disparity vectors of adjacent blocks as parameters of the predictor for the disparity vector of current block. Disparity vectors of adjacent blocks extend the usability of the homogeneity. In an object, adjacent block disparities are very similar. These similar vectors result to reduce computational power. Block matching algorithm sometimes gives reconstructed image distortion. In multi-view system, this happens usually in occlusion region or region around edges. Partially matched block needs to divide blocks in quad blocks or smaller blocks to reduce this distortion. Coarse to fine hierarchical algorithm is able to get rid of noise from incorrect matching of a pixel based matching algorithm. And it also reduces computational complexity in finding matched block or pixel. There may be overall luminance difference between multi-view images caused by viewer positions. This problem can be solved by block recursive matching algorithm(BRMA). Experimental results show that this algorithm gives under 80% of calculation load and better image quality at over 0.6dB of PSNR in tested images comparing with symmetric BMA..