Research on correlation noise modeling of a generalized Gamma distribution in distributed coding

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 t...

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Main Authors: Jie-ping LIU, Qin-ling WANG, Yue-sheng HE, Gang WEI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-03-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016050/
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author Jie-ping LIU
Qin-ling WANG
Yue-sheng HE
Gang WEI
author_facet Jie-ping LIU
Qin-ling WANG
Yue-sheng HE
Gang WEI
author_sort Jie-ping LIU
collection DOAJ
description 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.
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institution Kabale University
issn 1000-436X
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publishDate 2016-03-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-a6bc3a31cb6e434b9726b505e6164ec42025-01-14T06:54:58ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-03-0137333959699620Research on correlation noise modeling of a generalized Gamma distribution in distributed codingJie-ping LIUQin-ling WANGYue-sheng HEGang WEIDue 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016050/distributed video codingcorrelation noise modelgeneralized Gamma distributionLaplacian distribution
spellingShingle Jie-ping LIU
Qin-ling WANG
Yue-sheng HE
Gang WEI
Research on correlation noise modeling of a generalized Gamma distribution in distributed coding
Tongxin xuebao
distributed video coding
correlation noise model
generalized Gamma distribution
Laplacian distribution
title Research on correlation noise modeling of a generalized Gamma distribution in distributed coding
title_full Research on correlation noise modeling of a generalized Gamma distribution in distributed coding
title_fullStr Research on correlation noise modeling of a generalized Gamma distribution in distributed coding
title_full_unstemmed Research on correlation noise modeling of a generalized Gamma distribution in distributed coding
title_short Research on correlation noise modeling of a generalized Gamma distribution in distributed coding
title_sort research on correlation noise modeling of a generalized gamma distribution in distributed coding
topic distributed video coding
correlation noise model
generalized Gamma distribution
Laplacian distribution
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016050/
work_keys_str_mv AT jiepingliu researchoncorrelationnoisemodelingofageneralizedgammadistributionindistributedcoding
AT qinlingwang researchoncorrelationnoisemodelingofageneralizedgammadistributionindistributedcoding
AT yueshenghe researchoncorrelationnoisemodelingofageneralizedgammadistributionindistributedcoding
AT gangwei researchoncorrelationnoisemodelingofageneralizedgammadistributionindistributedcoding