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http://dx.doi.org/10.7840/kics.2012.37A.11.918

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

Kim, Tae-Woo (성균관대학교 정보통신대학 전자전기공학부)
Kim, Jung Hun (성균관대학교 정보통신대학 전자전기공학부)
Park, Myung Woo (성균관대학교 정보통신대학 전자전기공학부)
Shin, Jitae (성균관대학교 정보통신대학 전자전기공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.37A, no.11, 2012 , pp. 918-926 More about this Journal
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.
Keywords
3D Video Transmission; Depth Map; Depth-Based Image Rendering (DIBR); Down-sampling; Moving Objects;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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