【作者】 尹明； 蔡述庭； 章云； 谢云；

【Author】 YIN Ming,CAI Shu-ting,ZHANG Yun,XIE Yun (Faculty of Automation,Guangdong Univ.of Tech.,Guangzhou,510006)

【机构】 广东工业大学自动化学院；

【摘要】 针对现有Laplace模型不能精确描述相关噪声分布,分布式视频编码(distributed video coding,DVC)的率失真性能改善非常有限,本文深入研究了量化噪声因素对边信息的影响,在现有模型中考虑量化噪声因素,修正Laplace模型参数,提出一种新的像素域分布式视频编码系统的相关噪声模型。实验结果表明改进模型能更精确地描述相关噪声的统计特征,基于该模型的DVC率失真性能优于基于Laplace模型的DISCOVER方案,增益最大可达0.78dB。更多还原

【Abstract】 Due to the inaccuracy Laplace model for describing the distribution of the correlation noise,distributed video coding(DVC) achieved the limit improvement in rate-distortion performance.The quantization noise is taken into account for modeling the virtual channel at the decoder of Wyner-Ziv video coding in this paper.The model parameter is fixed so that the model can accurately describe the statistics of correlation noise.The experimental results show that the proposed model can character the correlation noise more accurately and the performance of DVC based on proposed model outperforms the DISCOVER based on the Laplace one with up to 0.78 dB.更多还原