Improved hybrid demosaicing and color super-resolution implementation using quasi-Newton algorithms
Super-resolution algorithms can be used to reconstruct a high-resolution high-quality image from a set of low-quality images. A novel hybrid demosaicing and color super-resolution approach proposed by Farsiu, Elad, and Milanfar relies on the minimization of a nonconvex multiterm objective function u...
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| creator | Sorrentino, D.A. Antoniou, A. |
| description | Super-resolution algorithms can be used to reconstruct a high-resolution high-quality image from a set of low-quality images. A novel hybrid demosaicing and color super-resolution approach proposed by Farsiu, Elad, and Milanfar relies on the minimization of a nonconvex multiterm objective function using a rudimentary fixed step-size steepest-descent approach. In this paper, we show that improved performance can be achieved by implementing this approach in terms of powerful quasi-Newton algorithms. |
| doi_str_mv | 10.1109/CCECE.2009.5090241 |
| format | Conference Proceeding |
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In this paper, we show that improved performance can be achieved by implementing this approach in terms of powerful quasi-Newton algorithms.</description><subject>Additive noise</subject><subject>Color</subject><subject>Colored noise</subject><subject>demosaicing</subject><subject>Filtering</subject><subject>Image processing</subject><subject>Image reconstruction</subject><subject>Image resolution</subject><subject>Image sensors</subject><subject>Layout</subject><subject>quasi-Newton algorithms</subject><subject>Sensor arrays</subject><subject>Sensor systems</subject><subject>super-resolution</subject><issn>0840-7789</issn><issn>2576-7046</issn><isbn>1424435099</isbn><isbn>9781424435098</isbn><isbn>1424435080</isbn><isbn>9781424435081</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFUEtOwzAUND-JtnAB2OQCKc-OE9tLFAWoVMGm--rZcVqjJA52AurtKVCJ1Wg-GmmGkDsKS0pBPZRlVVZLBqCWOShgnJ6ROeWM8ywHCedkxnJRpAJ4cfFvKHVJZiA5pEJIdU3mMb4DAJcFnxGz6obgP22d7A86uDqpbecjOuP6XYJ9nRjf-pDEabAhDTb6dhqd7xPXDa3tbD_iL53iT_5jwujSV_s1HiVsdz64cd_FG3LVYBvt7QkXZPNUbcqXdP32vCof16lTMKYFz4XRteLAamYMtTJDaZucUd1ofZxhmJCITGZagIYMUWoleJNLgxopZAty_1frrLXbIbgOw2F7Oir7BuS8W8A</recordid><startdate>200905</startdate><enddate>200905</enddate><creator>Sorrentino, D.A.</creator><creator>Antoniou, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200905</creationdate><title>Improved hybrid demosaicing and color super-resolution implementation using quasi-Newton algorithms</title><author>Sorrentino, D.A. ; Antoniou, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-6457cbd9402d2cc1e83a8ef521bfbb509c278aa283b70b03aa8b974f58caba103</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Additive noise</topic><topic>Color</topic><topic>Colored noise</topic><topic>demosaicing</topic><topic>Filtering</topic><topic>Image processing</topic><topic>Image reconstruction</topic><topic>Image resolution</topic><topic>Image sensors</topic><topic>Layout</topic><topic>quasi-Newton algorithms</topic><topic>Sensor arrays</topic><topic>Sensor systems</topic><topic>super-resolution</topic><toplevel>online_resources</toplevel><creatorcontrib>Sorrentino, D.A.</creatorcontrib><creatorcontrib>Antoniou, A.</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>Sorrentino, D.A.</au><au>Antoniou, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Improved hybrid demosaicing and color super-resolution implementation using quasi-Newton algorithms</atitle><btitle>2009 Canadian Conference on Electrical and Computer Engineering</btitle><stitle>CCECE</stitle><date>2009-05</date><risdate>2009</risdate><spage>815</spage><epage>818</epage><pages>815-818</pages><issn>0840-7789</issn><eissn>2576-7046</eissn><isbn>1424435099</isbn><isbn>9781424435098</isbn><eisbn>1424435080</eisbn><eisbn>9781424435081</eisbn><abstract>Super-resolution algorithms can be used to reconstruct a high-resolution high-quality image from a set of low-quality images. A novel hybrid demosaicing and color super-resolution approach proposed by Farsiu, Elad, and Milanfar relies on the minimization of a nonconvex multiterm objective function using a rudimentary fixed step-size steepest-descent approach. In this paper, we show that improved performance can be achieved by implementing this approach in terms of powerful quasi-Newton algorithms.</abstract><pub>IEEE</pub><doi>10.1109/CCECE.2009.5090241</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Additive noise Color Colored noise demosaicing Filtering Image processing Image reconstruction Image resolution Image sensors Layout quasi-Newton algorithms Sensor arrays Sensor systems super-resolution |
| title | Improved hybrid demosaicing and color super-resolution implementation using quasi-Newton algorithms |
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