Graph-based deinterlacing
This article presents a new algorithm for spatial deinterlacing that could easily be integrated in a more complete deinterlacing system. The spatial interpolation process often fails to reconstruct edges that are diagonal or close to horizontal, leading to highly visible artifacts. Our solution aims...
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| creator | Roussel, J. Bertolino, P. |
| description | This article presents a new algorithm for spatial deinterlacing that could easily be integrated in a more complete deinterlacing system. The spatial interpolation process often fails to reconstruct edges that are diagonal or close to horizontal, leading to highly visible artifacts. Our solution aims at preserving the linear structure continuity. It connects pieces of horizontal edges coming from neighboring lines to build graphs which are then simplified in branches that represent the linear structure of the scene. These branches give the exact direction in which the interpolation has to be done. For the rest of the image, a traditional directional spatial interpolation gives satisfactory results already. Although the number of pixels interpolated with this method is relatively small, the overall image quality is subjectively well improved. |
| doi_str_mv | 10.1109/ICIP.2008.4711900 |
| format | Conference Proceeding |
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The spatial interpolation process often fails to reconstruct edges that are diagonal or close to horizontal, leading to highly visible artifacts. Our solution aims at preserving the linear structure continuity. It connects pieces of horizontal edges coming from neighboring lines to build graphs which are then simplified in branches that represent the linear structure of the scene. These branches give the exact direction in which the interpolation has to be done. For the rest of the image, a traditional directional spatial interpolation gives satisfactory results already. 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The spatial interpolation process often fails to reconstruct edges that are diagonal or close to horizontal, leading to highly visible artifacts. Our solution aims at preserving the linear structure continuity. It connects pieces of horizontal edges coming from neighboring lines to build graphs which are then simplified in branches that represent the linear structure of the scene. These branches give the exact direction in which the interpolation has to be done. For the rest of the image, a traditional directional spatial interpolation gives satisfactory results already. Although the number of pixels interpolated with this method is relatively small, the overall image quality is subjectively well improved.</description><subject>edge interpolation</subject><subject>graph</subject><subject>Image quality</subject><subject>Image reconstruction</subject><subject>Interpolation</subject><subject>Laplace equations</subject><subject>Laplacian extrema</subject><subject>Layout</subject><subject>Microelectronics</subject><subject>Motion compensation</subject><subject>Multimedia communication</subject><subject>Pixel</subject><subject>Plasma displays</subject><subject>spatial deinterlacing</subject><issn>1522-4880</issn><issn>2381-8549</issn><isbn>9781424417650</isbn><isbn>1424417651</isbn><isbn>9781424417643</isbn><isbn>1424417643</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVj7tOw0AQAI-XhAn5gIiGHzhn9x57eyWySLAUiRRQR2ffHhiFKLLT8PcUpKGaYqSRRqkFQo0Icdk27bY2AFy7gBgBLtQ8BkZnnMNAzl6qylhGzd7Fq3_Ow7Wq0BujHTPcqrtp-gIwgBYrtViP6fipuzRJfswyHE4y7lM_HD7u1U1J-0nmZ87U--r5rXnRm9d12zxt9GCQTzpnIkN9LxSTBxEfkIrvqEhkdiShZGsDoevAlsjFg6Mu976IcApU7Ew9_HUHEdkdx-E7jT-786X9BS3VP-U</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>Roussel, J.</creator><creator>Bertolino, P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200810</creationdate><title>Graph-based deinterlacing</title><author>Roussel, J. ; Bertolino, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i218t-dd6626cce69a50ee5716f5b6fe98846e7fd337614b03f98f5046bdc5fee8a76f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>edge interpolation</topic><topic>graph</topic><topic>Image quality</topic><topic>Image reconstruction</topic><topic>Interpolation</topic><topic>Laplace equations</topic><topic>Laplacian extrema</topic><topic>Layout</topic><topic>Microelectronics</topic><topic>Motion compensation</topic><topic>Multimedia communication</topic><topic>Pixel</topic><topic>Plasma displays</topic><topic>spatial deinterlacing</topic><toplevel>online_resources</toplevel><creatorcontrib>Roussel, J.</creatorcontrib><creatorcontrib>Bertolino, P.</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>Roussel, J.</au><au>Bertolino, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Graph-based deinterlacing</atitle><btitle>2008 15th IEEE International Conference on Image Processing</btitle><stitle>ICIP</stitle><date>2008-10</date><risdate>2008</risdate><spage>897</spage><epage>900</epage><pages>897-900</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>9781424417650</isbn><isbn>1424417651</isbn><eisbn>9781424417643</eisbn><eisbn>1424417643</eisbn><abstract>This article presents a new algorithm for spatial deinterlacing that could easily be integrated in a more complete deinterlacing system. The spatial interpolation process often fails to reconstruct edges that are diagonal or close to horizontal, leading to highly visible artifacts. Our solution aims at preserving the linear structure continuity. It connects pieces of horizontal edges coming from neighboring lines to build graphs which are then simplified in branches that represent the linear structure of the scene. These branches give the exact direction in which the interpolation has to be done. For the rest of the image, a traditional directional spatial interpolation gives satisfactory results already. Although the number of pixels interpolated with this method is relatively small, the overall image quality is subjectively well improved.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2008.4711900</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1522-4880 |
| ispartof | 2008 15th IEEE International Conference on Image Processing, 2008, p.897-900 |
| issn | 1522-4880 2381-8549 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | edge interpolation graph Image quality Image reconstruction Interpolation Laplace equations Laplacian extrema Layout Microelectronics Motion compensation Multimedia communication Pixel Plasma displays spatial deinterlacing |
| title | Graph-based deinterlacing |
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