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Proceedings Paper

A total variation-based approach for composing better pictures in multiple description coding
Author(s): Shuyuan Zhu; Bing Zeng
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Paper Abstract

One of the important issues in multiple description coding (MDC) for image and video signals is to compose pictures of the "best" quality when more than one description is received at the decoder side. To this goal, a transform-domain overlapping technique combined with some necessary translations in the transform domain is proposed in the popular MDC schemes with staggered quantizers. However, the achievable gain is rather limited. In this paper, we formulate this enhancement problem as a total variation (TV) regularized optimization constrained by the knowledge of the quantization intervals of the DCT coefficients of each composed picture. In this TV-based approach, the transformdomain overlapping technique is used to find the more accurate quantization intervals in which the true DCT coefficients will fall while receiving more than one description. Simulation results demonstrate that such a TV-based enhancement yields a higher quality gain in both objective (e.g. PSNR-based) and subjective (i.e. visual perception) evaluations than using the transform-domain overlapping technique.

Paper Details

Date Published: 5 August 2010
PDF: 8 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77441G (5 August 2010); doi: 10.1117/12.863286
Show Author Affiliations
Shuyuan Zhu, The Hong Kong Univ. of Science and Technology (Hong Kong, China)
Bing Zeng, The Hong Kong Univ. of Science and Technology (Hong Kong, China)


Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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