A Novel Image Restoration Algorithm Based on High-Dimensional Space Geometry
A novel image restoration approach based on high-dimensional space geometry is proposed, which is quite different from the existing traditional image restoration techniques. It is based on the homeomorphisms and “Principle of Homology Continuity” (PHC), an image is mapped to a point in high-dimensio...
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| creator | Cao, Wenming Xie, Mei-fen Wang, Shoujue |
| description | A novel image restoration approach based on high-dimensional space geometry is proposed, which is quite different from the existing traditional image restoration techniques. It is based on the homeomorphisms and “Principle of Homology Continuity” (PHC), an image is mapped to a point in high-dimensional space. Begin with the original blurred image, we get two further blurred images, then the restored image can be obtained through the regressive curve derived from the three points which are mapped form the images. Experiments have proved the availability of this “blurred-blurred-restored” algorithm, and the comparison with the classical Wiener Filter approach is presented in final. |
| doi_str_mv | 10.1007/11751649_41 |
| format | Conference Proceeding |
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Experiments have proved the availability of this “blurred-blurred-restored” algorithm, and the comparison with the classical Wiener Filter approach is presented in final.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540340799</identifier><identifier>ISBN: 3540340793</identifier><identifier>ISBN: 354034070X</identifier><identifier>ISBN: 9783540340706</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540340807</identifier><identifier>EISBN: 9783540340805</identifier><identifier>DOI: 10.1007/11751649_41</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithmics. Computability. Computer arithmetics ; Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Deblurred Image ; Degraded Image ; Exact sciences and technology ; IEEE Signal Processing Magazine ; Image Restoration ; Neural Network Theory ; Pattern recognition. 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Experiments have proved the availability of this “blurred-blurred-restored” algorithm, and the comparison with the classical Wiener Filter approach is presented in final.</description><subject>Algorithmics. Computability. Computer arithmetics</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Deblurred Image</subject><subject>Degraded Image</subject><subject>Exact sciences and technology</subject><subject>IEEE Signal Processing Magazine</subject><subject>Image Restoration</subject><subject>Neural Network Theory</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Theoretical computing</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540340799</isbn><isbn>3540340793</isbn><isbn>354034070X</isbn><isbn>9783540340706</isbn><isbn>3540340807</isbn><isbn>9783540340805</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNkElPwzAUhM0mUUpP_AFfOHAI-MWOl2Npoa1UgcRytl4cJw1kUxwh9d8T1B6Yy0gzn-YwhNwAuwfG1AOASkAKYwWckCueCMYF00ydkglIgIhzYc7IzCh97JQx52TCOIsjowS_JLMQvtgoDlILNiHbOX1pf3xFNzUWnr75MLQ9DmXb0HlVtH057Gr6iMFndIzWZbGLlmXtmzASWNH3Dp2nK9_Wfuj31-Qixyr42dGn5PP56WOxjravq81ivo26GMwQ5Zl2SYomMxxTkXmBIkMQSnmmY68BUKPLJKRauNgk3EFsVKZkKnPkMXo-JbeH3Q6DwyrvsXFlsF1f1tjvLRgjtUrMyN0duDBWTeF7m7btd7DA7N-d9t-d_BdjFmGf</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Cao, Wenming</creator><creator>Xie, Mei-fen</creator><creator>Wang, Shoujue</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2006</creationdate><title>A Novel Image Restoration Algorithm Based on High-Dimensional Space Geometry</title><author>Cao, Wenming ; Xie, Mei-fen ; Wang, Shoujue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-fd8c5ba9d93ab4de4a4da1477e082e811a8acd61b84c2953c1297d76b6fa32ae3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Algorithmics. Computability. Computer arithmetics</topic><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Deblurred Image</topic><topic>Degraded Image</topic><topic>Exact sciences and technology</topic><topic>IEEE Signal Processing Magazine</topic><topic>Image Restoration</topic><topic>Neural Network Theory</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Theoretical computing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cao, Wenming</creatorcontrib><creatorcontrib>Xie, Mei-fen</creatorcontrib><creatorcontrib>Wang, Shoujue</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cao, Wenming</au><au>Xie, Mei-fen</au><au>Wang, Shoujue</au><au>Choo, Hyunseung</au><au>Gavrilova, Marina L.</au><au>Gervasi, Osvaldo</au><au>Taniar, David</au><au>Laganá, Antonio</au><au>Kumar, Vipin</au><au>Tan, C. J. Kenneth</au><au>Mun, Youngsong</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Novel Image Restoration Algorithm Based on High-Dimensional Space Geometry</atitle><btitle>Computational Science and Its Applications - ICCSA 2006</btitle><date>2006</date><risdate>2006</risdate><spage>375</spage><epage>383</epage><pages>375-383</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540340799</isbn><isbn>3540340793</isbn><isbn>354034070X</isbn><isbn>9783540340706</isbn><eisbn>3540340807</eisbn><eisbn>9783540340805</eisbn><abstract>A novel image restoration approach based on high-dimensional space geometry is proposed, which is quite different from the existing traditional image restoration techniques. It is based on the homeomorphisms and “Principle of Homology Continuity” (PHC), an image is mapped to a point in high-dimensional space. Begin with the original blurred image, we get two further blurred images, then the restored image can be obtained through the regressive curve derived from the three points which are mapped form the images. Experiments have proved the availability of this “blurred-blurred-restored” algorithm, and the comparison with the classical Wiener Filter approach is presented in final.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11751649_41</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Computational Science and Its Applications - ICCSA 2006, 2006, p.375-383 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_19968759 |
| source | Springer Books |
| subjects | Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Computer science control theory systems Deblurred Image Degraded Image Exact sciences and technology IEEE Signal Processing Magazine Image Restoration Neural Network Theory Pattern recognition. Digital image processing. Computational geometry Theoretical computing |
| title | A Novel Image Restoration Algorithm Based on High-Dimensional Space Geometry |
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