Abstract：In the Distributed Video Coding (DVC), the quality of Side Information (SI) has a critical impact on the coding efficiency and Rate-Distortion (RD) performance. Improving SI quality by extracting motion information from decoded frames becomes a new hotspot research area in recent years. According to noise correlation between SI, partial decoded Wyner-Ziv (WZ) frame and source, a novel iterative SI refinement method based on Multi-Hypothesis Motion-Compensated Prediction (MHMCP) denoising is proposed. In this scheme, firstly the original SI is refined by MHMCP denoising and a better motion compensated frame is generated instead of a similar one. Then it is refined iteratively by refinement module after each bit-plane is decoded. Experimental results show that the proposed strategy can significantly improve quality of WZ frames and reduce bit rate, thereby improve effectively the RD performance of DVC.
杨春玲, 马力. 基于多假设运动补偿去噪的迭代边信息改进算法[J]. 电子与信息学报, 2011, 33(11): 2553-2558.
Yang Chun-Ling, Ma Li. An Iterative Side Information Refinement Method Based on MHMCP Denoising in Distributed Video Coding. , 2011, 33(11): 2553-2558.
2011, Vol. 33 
