Improved virtual channel noise model for transform domain Wyner-Ziv video coding

Authors:
Xin Huang;Soren Forchhammer
Affiliations:
DTU Fotonik, Technical University of Denmark, Building 343, Lyngby 2800, Denmark;DTU Fotonik, Technical University of Denmark, Building 343, Lyngby 2800, Denmark
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

Citing 0
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Rate-distortion driven decoder-side bitplane mode decision for distributed video coding

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Exploiting quantization and spatial correlation in virtual-noise modeling for distributed video coding

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Cross-band noise model refinement for transform domain Wyner-Ziv video coding

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Perceptual-based distributed video coding

Journal of Visual Communication and Image Representation

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Abstract

Distributed Video Coding (DVC) has been proposed as a new video coding paradigm to deal with lossy source coding using side information to exploit the statistics at the decoder to reduce computational demands at the encoder. A virtual channel noise model is utilized at the decoder to estimate the noise distribution between the side information frame and the original frame. This is one of the most important aspects influencing the coding performance of DVC. Noise models with different granularity have been proposed. In this paper, an improved noise model for transform domain Wyner-Ziv video coding is proposed, which utilizes cross-band correlation to estimate the Laplacian parameters more accurately. Experimental results show that the proposed noise model can improve the Rate-Distortion (RD) performance.