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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2016-03-01
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Series: | Tongxin xuebao |
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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. |
format | Article |
id | doaj-art-a6bc3a31cb6e434b9726b505e6164ec4 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
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 |