Efficient disparity estimation algorithm using spatial correlation 


Vol. 27,  No. 5, pp. 526-532, May  2002


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  Abstract

In this paper, as one of the disparity estimation algorithms for stereoscopic image, block-based Adaptive Field Dependent Search (AFDS) algorithm is proposed to be able to reduce encoding time and increase the quality of image at the same time. AFDS algorithm is a fast disparity estimate algorithm by used directional similarity of disparity vector and high spatial correlation between casual neighbor blocks on epipolar line. Performance of disparity estimator was improved by adapt a dynamic search range, To decrease disparity compensation error that is happened closed object at camera in stereoscopic images. As a result of simulation, computational load was decreased maximum 78% as a characteristic of image and PSNR was improved about 0.2-2.8 dB compared with former Block Matching Algorithm.

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  Cite this article

[IEEE Style]

J. Bae and J. Yoo, "Efficient disparity estimation algorithm using spatial correlation," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 5, pp. 526-532, 2002. DOI: .

[ACM Style]

Jinwoo Bae and Jisang Yoo. 2002. Efficient disparity estimation algorithm using spatial correlation. The Journal of Korean Institute of Communications and Information Sciences, 27, 5, (2002), 526-532. DOI: .

[KICS Style]

Jinwoo Bae and Jisang Yoo, "Efficient disparity estimation algorithm using spatial correlation," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 5, pp. 526-532, 5. 2002.