Wavelet based nonlocal-means super-resolution for video sequences
Video sequence resolution enhancement became a popular research area during the last two decades. Although traditional super-resolution techniques have been successful in dealing with image sequences, many constraints such as global translation between frames, have to be imposed to obtain good perfo...
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| creator | Zheng, H Bouzerdoum, A Phung, S L |
| description | Video sequence resolution enhancement became a popular research area during the last two decades. Although traditional super-resolution techniques have been successful in dealing with image sequences, many constraints such as global translation between frames, have to be imposed to obtain good performance. In this paper, we present a new wavelet-based nonlocal-means (WNLM) framework to bypass the motion estimation stage. It can handle complex motion changes between frames. Compared with the nonlocal-means (NLM) super-resolution framework, the proposed method provides better result in terms of PSNR and faster processing. |
| doi_str_mv | 10.1109/ICIP.2010.5651488 |
| format | Conference Proceeding |
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Although traditional super-resolution techniques have been successful in dealing with image sequences, many constraints such as global translation between frames, have to be imposed to obtain good performance. In this paper, we present a new wavelet-based nonlocal-means (WNLM) framework to bypass the motion estimation stage. It can handle complex motion changes between frames. Compared with the nonlocal-means (NLM) super-resolution framework, the proposed method provides better result in terms of PSNR and faster processing.</description><subject>Image resolution</subject><subject>Interpolation</subject><subject>motion estimation</subject><subject>Noise reduction</subject><subject>nonlocal-means</subject><subject>Pixel</subject><subject>probabilistic model</subject><subject>Strontium</subject><subject>super-resolution</subject><subject>Video sequences</subject><subject>wavelet transform</subject><subject>Wavelet transforms</subject><issn>1522-4880</issn><issn>2381-8549</issn><isbn>9781424479924</isbn><isbn>1424479924</isbn><isbn>9781424479948</isbn><isbn>1424479940</isbn><isbn>1424479932</isbn><isbn>9781424479931</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVUM1qwzAY8_5gWdcHGLv4BdzZ_mzHPpawn0BhO2zsWNz4M2SkcRcnhb39AutlughJSAcRcif4SgjuHuqqfltJPktttFDWnpGlK61QUqnSOWXPSSHBCma1chf_MqkuSSG0lGyu8Wtyk_MX5_MWiIKsP_0ROxzpzmcMtE99lxrfsT36PtM8HXBgA-bUTWObehrTQI9twEQzfk_YN5hvyVX0XcbliRfk4-nxvXphm9fnulpvWCONGZlGjQBoRIihDKC9KRswxqioMHLgDkUD0UmIYRedM-AQdsqUOEMFyWFB7v9229nZHoZ274ef7ekN-AXwsk-c</recordid><startdate>20100101</startdate><enddate>20100101</enddate><creator>Zheng, H</creator><creator>Bouzerdoum, A</creator><creator>Phung, S L</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20100101</creationdate><title>Wavelet based nonlocal-means super-resolution for video sequences</title><author>Zheng, H ; Bouzerdoum, A ; Phung, S L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c266t-5e5e33e61dfd7d35a67c36664f4ef0309e1c3f923fdbf99639e3b467eeee4d203</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Image resolution</topic><topic>Interpolation</topic><topic>motion estimation</topic><topic>Noise reduction</topic><topic>nonlocal-means</topic><topic>Pixel</topic><topic>probabilistic model</topic><topic>Strontium</topic><topic>super-resolution</topic><topic>Video sequences</topic><topic>wavelet transform</topic><topic>Wavelet transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Zheng, H</creatorcontrib><creatorcontrib>Bouzerdoum, A</creatorcontrib><creatorcontrib>Phung, S L</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>Zheng, H</au><au>Bouzerdoum, A</au><au>Phung, S L</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Wavelet based nonlocal-means super-resolution for video sequences</atitle><btitle>2010 IEEE International Conference on Image Processing</btitle><stitle>ICIP</stitle><date>2010-01-01</date><risdate>2010</risdate><spage>2817</spage><epage>2820</epage><pages>2817-2820</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>9781424479924</isbn><isbn>1424479924</isbn><eisbn>9781424479948</eisbn><eisbn>1424479940</eisbn><eisbn>1424479932</eisbn><eisbn>9781424479931</eisbn><abstract>Video sequence resolution enhancement became a popular research area during the last two decades. Although traditional super-resolution techniques have been successful in dealing with image sequences, many constraints such as global translation between frames, have to be imposed to obtain good performance. In this paper, we present a new wavelet-based nonlocal-means (WNLM) framework to bypass the motion estimation stage. It can handle complex motion changes between frames. Compared with the nonlocal-means (NLM) super-resolution framework, the proposed method provides better result in terms of PSNR and faster processing.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2010.5651488</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Image resolution Interpolation motion estimation Noise reduction nonlocal-means Pixel probabilistic model Strontium super-resolution Video sequences wavelet transform Wavelet transforms |
| title | Wavelet based nonlocal-means super-resolution for video sequences |
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