Disparity Estimation Algorithm using Variable Blocks and Search Ranges 


Vol. 30,  No. 4, pp. 253-261, Apr.  2005


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  Abstract

In this paper, we propose an efficient block-based disparity estimation algorithm for 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.

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  Cite this article

[IEEE Style]

J. h. Koh, H. Song, J. s. Yoo, "Disparity Estimation Algorithm using Variable Blocks and Search Ranges," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 4, pp. 253-261, 2005. DOI: .

[ACM Style]

Je hyun Koh, Hyok Song, and Ji sang Yoo. 2005. Disparity Estimation Algorithm using Variable Blocks and Search Ranges. The Journal of Korean Institute of Communications and Information Sciences, 30, 4, (2005), 253-261. DOI: .

[KICS Style]

Je hyun Koh, Hyok Song, Ji sang Yoo, "Disparity Estimation Algorithm using Variable Blocks and Search Ranges," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 4, pp. 253-261, 4. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880