A WYNER-ZIV VIDEO CODING METHOD UTILIZING MIXTURE CORRELATION NOISE MODEL

作     者：Hu Xiaofei* ** Zhu Xiuchang* (Image Processing and Image Communication Key Laboratory, Nanjing University of Posts and Telecommunications, Nanjing 210003, China) **(College of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210003, China) 

出 版 物：《Journal of Electronics(China)》 (电子科学学刊(英文版))

年 卷 期：2012年第Z2期

页      面：197-203页

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

基　　金：Supported by the National Natural Science Foundation of China (No. 61071091) Jiangsu Province Graduate Innovative Research Plan (CX07B_107Z) 

主　　题：Transform domain Wyner-Ziv (WZ) DIStributed COding for Video sERvices (DISCOVER) Video coding Correlation noise model Mixture Laplace-Uniform Distribution Model (MLUDM) 

摘      要：In Wyner-Ziv (WZ) Distributed Video Coding (DVC), correlation noise model is often used to describe the error distribution between WZ frame and the side information. The accuracy of the model can influence the performance of the video coder directly. A mixture correlation noise model in Discrete Cosine Transform (DCT) domain for WZ video coding is established in this paper. Different correlation noise estimation method is used for direct current and alternating current coefficients. Parameter estimation method based on expectation maximization algorithm is used to estimate the Laplace distribution center of direct current frequency band and Mixture Laplace-Uniform Distribution Model (MLUDM) is established for alternating current coefficients. Experimental results suggest that the proposed mixture correlation noise model can describe the heavy tail and sudden change of the noise accurately at high rate and make significant improvement on the coding efficiency compared with the noise model presented by DIStributed COding for Video sERvices (DISCOVER).