分布式编码中广义伽马分布相关噪声模型研究

刘杰平; 王琴玲; 何越盛; 韦岗

doi:10.11959/j.issn.1000-436x.2016050

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分布式编码中广义伽马分布相关噪声模型研究

学术论文 | 更新时间：2024-06-05

- 分布式编码中广义伽马分布相关噪声模型研究
- Research on correlation noise modeling of a generalized Gamma distribution in distributed coding
- 通信学报 2016年37卷第3期页码：33-39
- 作者机构：
  
  华南理工大学电子与信息学院，广东广州510640
- 作者简介：
  
  [ "刘杰平（1961-），女，湖南新化人，博士，华南理工大学副教授、硕士生导师，主要研究方向为图像/视频信号处理、无线视频传输。" ]
  [ "王琴玲（1991-），女，湖南邵阳人，华南理工大学硕士生，主要研究方向为视频编码。" ]
  [ "何越盛（1988-），男，广西钦州人，华南理工大学硕士生，主要研究方向为视频编码。" ]
  [ "韦岗（1963-），男，广西宾阳人，博士，华南理工大学教授、博士生导师，主要研究方向为通信、信息处理理论与技术。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61327005);国家工程技术研究中心基金资助项目(2013FU125X02)
- DOI：10.11959/j.issn.1000-436x.2016050
  中图分类号： TN919.8
- 网络出版日期：2016-03，
  
  纸质出版日期：2016-03-25
- 稿件说明：
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刘杰平, 王琴玲, 何越盛, 等. 分布式编码中广义伽马分布相关噪声模型研究[J]. 通信学报, 2016,37(3):33-39.

Jie-ping LIU, Qin-ling WANG, Yue-sheng HE, et al. Research on correlation noise modeling of a generalized Gamma distribution in distributed coding[J]. Journal on communications, 2016, 37(3): 33-39.
刘杰平, 王琴玲, 何越盛, 等. 分布式编码中广义伽马分布相关噪声模型研究[J]. 通信学报, 2016,37(3):33-39. DOI： 10.11959/j.issn.1000-436x.2016050.

Jie-ping LIU, Qin-ling WANG, Yue-sheng HE, et al. Research on correlation noise modeling of a generalized Gamma distribution in distributed coding[J]. Journal on communications, 2016, 37(3): 33-39. DOI： 10.11959/j.issn.1000-436x.2016050.

摘要

针对现有相关噪声模型—Laplacian 模型不能精确描述相关噪声，导致分布式视频编码(DVC

distributed video coding)系统的率失真性能不高的问题，提出像素域DVC中广义伽马分布相关噪声模型。首先分析了相关噪声的统计特性，发现 Laplacian 分布的峰值比实际相关噪声分布的低，然后采用广义伽马分布对相关噪声进行拟合，并给出在线估计广义伽马分布参数的方法。实验结果表明，提出的模型能较精确地描述相关噪声，且有效地改善了系统的率失真性能，并减少了解码端计算复杂度。

Abstract

Due to the inaccuracy of modeling the correlated noise (CN) with Laplacian distribution

the rate-distortion performance of DVC is relatively low.CN modeling via generalized Gamma (GGA)distribution was proposed for pix-el-domain DVC.Statistical features of the CN modeling were analyzed.It was found that Laplacian distribution peak was lower than actual CN distribution.GGA distribution was exploited to fit CN and the GGA distribution parameters were estimated online.The simulation results indicate that the proposed model can more accurately reflect the statistics fea-tures of CN

improve rate distortion performance

and reduce computation complexity.

关键词

Keywords

references

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