为提高分布式视频编码系统解码WZ帧的图像质量,提出了像素域基于广义高斯分布的WZ帧重构方案.该方案充分考虑了边信息与原始WZ帧间的相关性,以广义高斯分布作为虚拟相关信道模型,提高率失真性能;用广义高斯分布做相关噪声模型,对给定量化区间,计算边信息已知情况下WZ的条件期望作为WZ重构值;为了不过多地增加重构方案的复杂度,将广义高斯分布的形状参数固定为0.5,推导出重构WZ帧的闭式表示.实验结果表明,基于广义高斯分布的WZ帧重构方案能有效提高率失真性能和改善重构WZ帧的图像质量.
In order to improve the image quality of the decoded WZ( Wyner-Ziv) frame in distributed video coding system,WZ frame reconstruction technology based on generalized Gaussian distribution( GGD) was proposed. The correlation between the side information and the original WZ frame was considered as well. GGD was used for virtual correlation channel model so as to improve the rate distortion( RD) performance. Meanwhile,the condition expectation of the WZ was computed as the reconstructed WZ value for the given quantization interval and the known side information in which GGD is used as correlation noise model. The shape parameter of GGD is fixed to 0. 5 so that it won't add extra complexity to the reconstruction technology. The closed-form expression of the optimal reconstructed values was derived. Experiments indicate that the proposed WZ frame reconstruction technology can improve the RD performance and image quality of the decoded WZ frame.