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

作     者：Huang, Xin Forchhammer, Soren 

作者机构：Tech Univ Denmark DTU Foton DK-2800 Lyngby Denmark 

出 版 物：《SIGNAL PROCESSING-IMAGE COMMUNICATION》 (信号处理：图像通信)

年 卷 期：2012年第27卷第1期

页      面：16-30页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

主　　题：Distributed video coding Wyner-Ziv video coding Noise model Residue refinement 

摘      要：Distributed Video Coding (DVC) is a new video coding paradigm, which mainly exploits the source statistics at the decoder based on the availability of decoder side information. One approach to DVC is feedback channel based Transform Domain Wyner-Ziv (TDWZ) video coding. The efficiency of current TDWZ video coding trails that of conventional video coding solutions, mainly due to the quality of side information, inaccurate noise modeling and loss in the final coding step. The major goal of this paper is to enhance the accuracy of the noise modeling, which is one of the most important aspects influencing the coding performance of DVC. A TDWZ video decoder with a novel cross-band based adaptive noise model is proposed, and a noise residue refinement scheme is introduced to successively update the estimated noise residue for noise modeling after each bit-plane. Experimental results show that the proposed noise model and noise residue refinement scheme can improve the rate-distortion (RD) performance of TDWZ video coding significantly. The quality of the side information modeling is also evaluated by a measure of the ideal code length. (C) 2011 Elsevier B.V. All rights reserved.