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Disparity Estimation Algorithm using Variable Blocks and Search Ranges  

Koh Je hyun (광운대학교 디지털미디어연구실)
Song Hyok (광운대학교 디지털미디어연구실)
Yoo Ji sang (광운대학교 디지털미디어연구실)
Abstract
In this paper, we propose an efficient block-based disparity estimation algorithm fur multiple view image coding in EE2 and EE3 in 3DAV. The proposed method emphasizes on visual quality improvement to satisfy the requirements for multiple view generation. Therefore, we perform an adaptive disparity estimation that constructs variable blocks by considering given image features. Examining neighboring features around desired block search range is set up to decrease complexity and additional information than only using quad-tree coding through applying binary-tree and quad-tree coding by taking into account stereo image feature having big disparity. The experimental results show that the proposed method improves PSNR about 1 to 2dB compared to existing other methods and decreases computational complexity up to maximum 68 percentages than FBMA.
Keywords
3DAV coding; Disparity estimation; Variable block estimation;
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