分布式视频编码中相关噪声分布的非参数估计  

Non-parametric estimation for correlation noise distribution in distributed video coding

作　　者：胡晓飞[1] 朱秀昌[1] 

机构地区：[1]南京邮电大学图像处理与图像通信江苏省重点实验室,南京210003

出　　处：《中国图象图形学报》2014年第6期843-851,共9页Journal of Image and Graphics

基　　金：国家自然科学基金项目(61071091;61271082);南京邮电大学科研基金项目(NY212101)

摘　　要：目的针对分布式视频编码系统中相关噪声(CN)分布难以准确模拟的问题,提出了一种CN的非参数估计方法。方法根据CN分布的特点,提出CN的非参数估计方法,建立了基于最优窗宽的核密度估计-均匀分布模型(KDEUDM),比较了变换域Wyner-Ziv(TDWZ)系统中CN的参数估计法和非参数估计法所建立的噪声模型对系统性能的影响。结果实验结果表明,非参数估计方法能较准确地模拟CN的分布,与参数估计法相比,用非参数估计法建立的噪声模型能使WZ帧编码在高码率下最高能节约10%的码率。结论非参数估计法是TDWZ系统中有效的相关噪声估计方法。Objective Since it is difficult to estimate the correlation noise distribution, a non-parametric estimation method for correlation noise is proposed. Method Non-parametric estimation method for correlation noise is proposed a according to the feature of correlation noise, a kernel density estimation-uniform distribution model based on optimal bandwidth is proposed. The impact of the noise model using parameter estimation method and non-parametric estimation method on the system performance in the transform domain Wyner-Ziv system is compared. Result The experiments results show that non-parametric estimation method can simulate correlation noise distribution and the established noise model using non-parametric estimation method can save rate about 10% at most at high bit rate for WZ frame. Conclusion Non-parametric estimation method is an effective noise estimation method for TDWZ system.

关 键 词：分布式视频编码 变换域Wyner-Ziv 相关噪声分布 核密度估计 噪声模型 

分 类 号：TN919.81[电子电信—通信与信息系统]