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分布式视频编码中相关噪声分布的非参数估计

胡晓飞, 朱秀昌(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)

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

Hu Xiaofei, Zhu Xiuchang(Image Processing and Image Communication Key Laboratory, Nanjing University of Posts and Communications, Nanjing 210003, China)

Abstract
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.
Keywords

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