Hybrid Down-Sampling Method of Depth Map Based on Moving Objects 


Vol. 37,  No. 11, pp. 918-926, Nov.  2012


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  Abstract

In 3D video transmission, a depth map being used for depth image based rendering (DIBR) is generally compressed by reducing resolution for coding efficiency. Errors in resolution reduction are recovered by an appropriate up-sampling method after decoding. However, most previous works only focus on up-sampling techniques to reduce errors. In this paper, we propose a novel down-sampling technique of depth map that applies different down-sampling rates on moving objects and background in order to enhance human perceptual quality. Experimental results demonstrate that the proposed scheme provides both higher visual quality and peak signal-to-noise ratio (PSNR). Also, our method is compatible with other up-sampling techniques.

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  Cite this article

[IEEE Style]

T. Kim, J. H. Kim, M. W. Park, J. Shin, "Hybrid Down-Sampling Method of Depth Map Based on Moving Objects," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 11, pp. 918-926, 2012. DOI: .

[ACM Style]

Tae-Woo Kim, Jung Hun Kim, Myung Woo Park, and Jitae Shin. 2012. Hybrid Down-Sampling Method of Depth Map Based on Moving Objects. The Journal of Korean Institute of Communications and Information Sciences, 37, 11, (2012), 918-926. DOI: .

[KICS Style]

Tae-Woo Kim, Jung Hun Kim, Myung Woo Park, Jitae Shin, "Hybrid Down-Sampling Method of Depth Map Based on Moving Objects," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 11, pp. 918-926, 11. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880