An adaptive de-blocking algorithm based on MRF
One of the major drawbacks in block-based discrete cosine transform (BDCT) is the blocking artifacts at low bit rates. In this paper, an adaptive deblocking algorithm based on Markov random field (MRF) is proposed. A visibility function of blocking artifacts is introduced which based on human visual...
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| creator | Shengli Xie Zhiliang Xu |
| description | One of the major drawbacks in block-based discrete cosine transform (BDCT) is the blocking artifacts at low bit rates. In this paper, an adaptive deblocking algorithm based on Markov random field (MRF) is proposed. A visibility function of blocking artifacts is introduced which based on human visual system (HVS), together with edge information to construct a new adaptive potential function of MRF. The experiment results show that the proposed algorithm reduces the blocking artifacts effectively and preserves the original edges faithful |
| doi_str_mv | 10.1109/ICTAI.2005.31 |
| format | Conference Proceeding |
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In this paper, an adaptive deblocking algorithm based on Markov random field (MRF) is proposed. A visibility function of blocking artifacts is introduced which based on human visual system (HVS), together with edge information to construct a new adaptive potential function of MRF. The experiment results show that the proposed algorithm reduces the blocking artifacts effectively and preserves the original edges faithful</description><identifier>ISSN: 1082-3409</identifier><identifier>ISBN: 0769524885</identifier><identifier>ISBN: 9780769524887</identifier><identifier>EISSN: 2375-0197</identifier><identifier>DOI: 10.1109/ICTAI.2005.31</identifier><language>eng</language><publisher>IEEE</publisher><subject>Artificial intelligence ; Bit rate ; Brightness ; Discrete cosine transforms ; Filters ; Humans ; Markov random fields ; Nearest neighbor searches ; Smoothing methods ; Visual system</subject><ispartof>17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005, p.2 pp.-711</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1563027$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4048,4049,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1563027$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Shengli Xie</creatorcontrib><creatorcontrib>Zhiliang Xu</creatorcontrib><title>An adaptive de-blocking algorithm based on MRF</title><title>17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)</title><addtitle>TAI</addtitle><description>One of the major drawbacks in block-based discrete cosine transform (BDCT) is the blocking artifacts at low bit rates. In this paper, an adaptive deblocking algorithm based on Markov random field (MRF) is proposed. A visibility function of blocking artifacts is introduced which based on human visual system (HVS), together with edge information to construct a new adaptive potential function of MRF. The experiment results show that the proposed algorithm reduces the blocking artifacts effectively and preserves the original edges faithful</description><subject>Artificial intelligence</subject><subject>Bit rate</subject><subject>Brightness</subject><subject>Discrete cosine transforms</subject><subject>Filters</subject><subject>Humans</subject><subject>Markov random fields</subject><subject>Nearest neighbor searches</subject><subject>Smoothing methods</subject><subject>Visual system</subject><issn>1082-3409</issn><issn>2375-0197</issn><isbn>0769524885</isbn><isbn>9780769524887</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotzD1PwzAQAFCLD4m2MDKx-A84nO2czx6jiJZIRUiozNWldkogTaokQuLfM8D0tifEvYZMawiPVbkrqswAYGb1hVgYS6hAB7oUSyAX0OTe45VYaPBG2RzCjVhO0yeAATR2IbKilxz5PLffScak6m44fLX9UXJ3HMZ2_jjJmqcU5dDLl7f1rbhuuJvS3b8r8b5-2pXPavu6qcpiq1pNOKsmdxgcsQuuTsZ5JM1IweWe-EDWsTUuBA6kTRMTEDIhRt0gB-9czO1KPPy9bUppfx7bE48_e43OgiH7C57gQSw</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Shengli Xie</creator><creator>Zhiliang Xu</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>An adaptive de-blocking algorithm based on MRF</title><author>Shengli Xie ; Zhiliang Xu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f465967a696be268571a5796487ac736a32699a9712fde075a755d1f5a9866d43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Artificial intelligence</topic><topic>Bit rate</topic><topic>Brightness</topic><topic>Discrete cosine transforms</topic><topic>Filters</topic><topic>Humans</topic><topic>Markov random fields</topic><topic>Nearest neighbor searches</topic><topic>Smoothing methods</topic><topic>Visual system</topic><toplevel>online_resources</toplevel><creatorcontrib>Shengli Xie</creatorcontrib><creatorcontrib>Zhiliang Xu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shengli Xie</au><au>Zhiliang Xu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An adaptive de-blocking algorithm based on MRF</atitle><btitle>17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)</btitle><stitle>TAI</stitle><date>2005</date><risdate>2005</risdate><spage>2 pp.</spage><epage>711</epage><pages>2 pp.-711</pages><issn>1082-3409</issn><eissn>2375-0197</eissn><isbn>0769524885</isbn><isbn>9780769524887</isbn><abstract>One of the major drawbacks in block-based discrete cosine transform (BDCT) is the blocking artifacts at low bit rates. In this paper, an adaptive deblocking algorithm based on Markov random field (MRF) is proposed. A visibility function of blocking artifacts is introduced which based on human visual system (HVS), together with edge information to construct a new adaptive potential function of MRF. The experiment results show that the proposed algorithm reduces the blocking artifacts effectively and preserves the original edges faithful</abstract><pub>IEEE</pub><doi>10.1109/ICTAI.2005.31</doi></addata></record> |
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| identifier | ISSN: 1082-3409 |
| ispartof | 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005, p.2 pp.-711 |
| issn | 1082-3409 2375-0197 |
| language | eng |
| recordid | cdi_ieee_primary_1563027 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial intelligence Bit rate Brightness Discrete cosine transforms Filters Humans Markov random fields Nearest neighbor searches Smoothing methods Visual system |
| title | An adaptive de-blocking algorithm based on MRF |
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