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

Hu Xiaofei; Zhu Xiuchang

doi:10.11834/jig.20140604

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Non-parametric estimation for correlation noise distribution in distributed video coding
Vol. 19, Issue 6, Pages: 843-851(2014)
Published Online：06 June 2014，

Published：2014
DOI： 10.11834/jig.20140604
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DOI：

Hu Xiaofei, Zhu Xiuchang. Non-parametric estimation for correlation noise distribution in distributed video coding[J]. Journal of Image and Graphics, 2014, 19(6): 843-851. DOI： 10.11834/jig.20140604.

摘要

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。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。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。非参数估计法是TDWZ系统中有效的相关噪声估计方法。

Abstract

Since it is difficult to estimate the correlation noise distribution

a non-parametric estimation method for correlation noise is proposed. 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. 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. Non-parametric estimation method is an effective noise estimation method for TDWZ system.