Spatial error concealment method based on tensor voting
As the existing spatial error concealment algorithms is lack of the recovery accuracy in complex texture areas,a spatial error concealment method based on tensor voting was proposed,which extracted structural information by using tensor voting.On this basis,an improved spatial error concealment algo...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2011-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74419063/ |
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| _version_ | 1841537802185998336 |
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| author | GAN Nan GONG Sheng-rong WANG Zhao-hui LIU Chun-ping LIU Quan |
| author_facet | GAN Nan GONG Sheng-rong WANG Zhao-hui LIU Chun-ping LIU Quan |
| author_sort | GAN Nan |
| collection | DOAJ |
| description | As the existing spatial error concealment algorithms is lack of the recovery accuracy in complex texture areas,a spatial error concealment method based on tensor voting was proposed,which extracted structural information by using tensor voting.On this basis,an improved spatial error concealment algorithm which combined with the traditional algo-rithms was further proposed.Firstly the lost marc blocks were classified into three categories,and then the appropriate concealment method was chose to recover the lost macro blocks according to the type of lost macro blocks.Experimental results show that the proposed method improves the recovery accuracy effectively and avoids the edge disorder phe-nomenon,especially in the region with more complex texture,the subjective and objective quality of concealed image is improved greatly. |
| format | Article |
| id | doaj-art-8663bd1b7bef4cb7851169e4d02904e8 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2011-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-8663bd1b7bef4cb7851169e4d02904e82025-01-14T08:15:26ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013212713474419063Spatial error concealment method based on tensor votingGAN NanGONG Sheng-rongWANG Zhao-huiLIU Chun-pingLIU QuanAs the existing spatial error concealment algorithms is lack of the recovery accuracy in complex texture areas,a spatial error concealment method based on tensor voting was proposed,which extracted structural information by using tensor voting.On this basis,an improved spatial error concealment algorithm which combined with the traditional algo-rithms was further proposed.Firstly the lost marc blocks were classified into three categories,and then the appropriate concealment method was chose to recover the lost macro blocks according to the type of lost macro blocks.Experimental results show that the proposed method improves the recovery accuracy effectively and avoids the edge disorder phe-nomenon,especially in the region with more complex texture,the subjective and objective quality of concealed image is improved greatly.http://www.joconline.com.cn/zh/article/74419063/error concealmentspatial error concealmentlost macro blocks classificationtensor voting |
| spellingShingle | GAN Nan GONG Sheng-rong WANG Zhao-hui LIU Chun-ping LIU Quan Spatial error concealment method based on tensor voting Tongxin xuebao error concealment spatial error concealment lost macro blocks classification tensor voting |
| title | Spatial error concealment method based on tensor voting |
| title_full | Spatial error concealment method based on tensor voting |
| title_fullStr | Spatial error concealment method based on tensor voting |
| title_full_unstemmed | Spatial error concealment method based on tensor voting |
| title_short | Spatial error concealment method based on tensor voting |
| title_sort | spatial error concealment method based on tensor voting |
| topic | error concealment spatial error concealment lost macro blocks classification tensor voting |
| url | http://www.joconline.com.cn/zh/article/74419063/ |
| work_keys_str_mv | AT gannan spatialerrorconcealmentmethodbasedontensorvoting AT gongshengrong spatialerrorconcealmentmethodbasedontensorvoting AT wangzhaohui spatialerrorconcealmentmethodbasedontensorvoting AT liuchunping spatialerrorconcealmentmethodbasedontensorvoting AT liuquan spatialerrorconcealmentmethodbasedontensorvoting |