Motion Blur Identification Based on Differently Exposed Images
In this paper we introduce a new method of motion blur identification that relies on the availability of two, differently exposed, image shots of the same scene. The proposed approach exploits the difference in the degradation models of the two images in order to identify the point spread function (...
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| creator | Tico, M. Trimeche, M. Vehvilainen, M. |
| description | In this paper we introduce a new method of motion blur identification that relies on the availability of two, differently exposed, image shots of the same scene. The proposed approach exploits the difference in the degradation models of the two images in order to identify the point spread function (PSF) corresponding to the motion blur, that may affect the longer exposed image shot. The algorithm is demonstrated through a series of experiments that reveal its ability to identify the motion blur PSF even in the presence of heavy degradations of the two observed images. |
| doi_str_mv | 10.1109/ICIP.2006.312843 |
| format | Conference Proceeding |
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The proposed approach exploits the difference in the degradation models of the two images in order to identify the point spread function (PSF) corresponding to the motion blur, that may affect the longer exposed image shot. 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The algorithm is demonstrated through a series of experiments that reveal its ability to identify the motion blur PSF even in the presence of heavy degradations of the two observed images.</description><subject>Cameras</subject><subject>Deconvolution</subject><subject>Degradation</subject><subject>exposure time</subject><subject>Hardware</subject><subject>image deconvolution</subject><subject>Image restoration</subject><subject>Image sensors</subject><subject>Layout</subject><subject>Motion analysis</subject><subject>motion blur</subject><subject>Motion estimation</subject><subject>Optical sensors</subject><issn>1522-4880</issn><issn>2381-8549</issn><isbn>9781424404803</isbn><isbn>1424404800</isbn><isbn>9781424404810</isbn><isbn>1424404819</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVjEtLw0AURscXGGv3gpv8gcR7Z-68NoLGqoGKLnRdJpkZGWmbkkRo_72VunH1Hc6Bj7ErhBIR7E1d1W8lB1ClQG5IHLGp1QaJEwEZhGOWcWGwMJLsyb8G4pRlKDkvyBg4ZxfD8AXAAQVm7PalG1O3zu-X331e-7AeU0ytOzg3BJ_v4SHFGPp9W-7y2XbT_ep65T7DcMnOolsOYfq3E_bxOHuvnov561Nd3c2LhFqOBUZhiYNW2DQmkmrRohbSa1BaOoUBA7XB-0CWUDeiUdHFGJ1oo_MgvJiw68NvCiEsNn1auX63IARlpRI_vJlNNw</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>Tico, M.</creator><creator>Trimeche, M.</creator><creator>Vehvilainen, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200610</creationdate><title>Motion Blur Identification Based on Differently Exposed Images</title><author>Tico, M. ; Trimeche, M. ; Vehvilainen, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-1f39420761bb8f46c191735d70675a61e1e4cedde49417b3b6fafffa3cfad03d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Cameras</topic><topic>Deconvolution</topic><topic>Degradation</topic><topic>exposure time</topic><topic>Hardware</topic><topic>image deconvolution</topic><topic>Image restoration</topic><topic>Image sensors</topic><topic>Layout</topic><topic>Motion analysis</topic><topic>motion blur</topic><topic>Motion estimation</topic><topic>Optical sensors</topic><toplevel>online_resources</toplevel><creatorcontrib>Tico, M.</creatorcontrib><creatorcontrib>Trimeche, M.</creatorcontrib><creatorcontrib>Vehvilainen, M.</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>Tico, M.</au><au>Trimeche, M.</au><au>Vehvilainen, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Motion Blur Identification Based on Differently Exposed Images</atitle><btitle>2006 International Conference on Image Processing</btitle><stitle>ICIP</stitle><date>2006-10</date><risdate>2006</risdate><spage>2021</spage><epage>2024</epage><pages>2021-2024</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>9781424404803</isbn><isbn>1424404800</isbn><eisbn>9781424404810</eisbn><eisbn>1424404819</eisbn><abstract>In this paper we introduce a new method of motion blur identification that relies on the availability of two, differently exposed, image shots of the same scene. The proposed approach exploits the difference in the degradation models of the two images in order to identify the point spread function (PSF) corresponding to the motion blur, that may affect the longer exposed image shot. The algorithm is demonstrated through a series of experiments that reveal its ability to identify the motion blur PSF even in the presence of heavy degradations of the two observed images.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2006.312843</doi><tpages>4</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cameras Deconvolution Degradation exposure time Hardware image deconvolution Image restoration Image sensors Layout Motion analysis motion blur Motion estimation Optical sensors |
| title | Motion Blur Identification Based on Differently Exposed Images |
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