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http://dx.doi.org/10.5909/JBE.2009.14.2.144

Transform domain Wyner-Ziv Coding based on the frequency-adaptive channel noise modeling  

Kim, Byung-Hee (School of Information and Communication Engineering, Sungkyunkwan University)
Ko, Bong-Hyuck (School of Information and Communication Engineering, Sungkyunkwan University)
Jeon, Byeung-Woo (School of Information and Communication Engineering, Sungkyunkwan University)
Publication Information
Journal of Broadcast Engineering / v.14, no.2, 2009 , pp. 144-153 More about this Journal
Abstract
Recently, as the necessity of a light-weighted video encoding technique has been rising for applications such as UCC(User Created Contents) or Multiview Video, Distributed Video Coding(DVC) where a decoder, not an encoder, performs the motion estimation/compensation taking most of computational complexity has been vigorously investigated. Wyner-Ziv coding reconstructs an image by eliminating the noise on side information which is decoder-side prediction of original image using channel code. Generally the side information of Wyner-Ziv coding is generated by using frame interpolation between key frames. The channel code such as Turbo code or LDPC code which shows a performance close to the Shannon's limit is employed. The noise model of Wyner-Ziv coding for channel decoding is called Virtual Channel Noise and is generally modeled by Laplacian or Gaussian distribution. In this paper, we propose a Wyner-Ziv coding method based on the frequency-adaptive channel noise modeling in transform domain. The experimental results with various sequences prove that the proposed method makes the channel noise model more accurate compared to the conventional scheme, resulting in improvement of the rate-distortion performance by up to 0.52dB.
Keywords
DSC; DVC; Wyner-Ziv coding; Channel noise modeling;
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Times Cited By KSCI : 2  (Citation Analysis)
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