Block-based Disparity Estimation Algorithm Using Edge information 


Vol. 28,  No. 2, pp. 121-128, Feb.  2003


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  Abstract

In this paper, we propose a new disparity estimation method called object based block matching algorithm(OBMA) for stereoscopic images which is able to reduce the blocking artifact. In the proposed algorithm, edge information of the given image is first extracted and then we estimate the disparity of each segmented object to remove the blocking artifact. In the experimental results, it is proven that the proposed algorithm has about the same performance as the old BMA algorithm while it achieves much better subjective quality.

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  Cite this article

[IEEE Style]

B. Lee and J. Yoo, "Block-based Disparity Estimation Algorithm Using Edge information," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 2, pp. 121-128, 2003. DOI: .

[ACM Style]

Byoung-Jin Lee and Ji-Sang Yoo. 2003. Block-based Disparity Estimation Algorithm Using Edge information. The Journal of Korean Institute of Communications and Information Sciences, 28, 2, (2003), 121-128. DOI: .

[KICS Style]

Byoung-Jin Lee and Ji-Sang Yoo, "Block-based Disparity Estimation Algorithm Using Edge information," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 2, pp. 121-128, 2. 2003.