Joint blind deconvolution and image correlography via a Bayesian image reconstruction algorithm
Laser imaging through atmospheric turbulence is a challenging problem due primarily to turbulence close to the aperture. Amplitude measurements of the return beam in the plane of the aperture are immune to turbulence, but contain limited information about the Fourier phase of the target image. This...
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| creator | Cain, S.C. |
| description | Laser imaging through atmospheric turbulence is a challenging problem due primarily to turbulence close to the aperture. Amplitude measurements of the return beam in the plane of the aperture are immune to turbulence, but contain limited information about the Fourier phase of the target image. This paper suggests a method for using blind deconvolution of laser speckle degraded imagery together with correlography techniques in order to simplify the phase retrieval problem and produce coherent image reconstructions with spatial resolution not limited by the atmospheric conditions. The viability of the technique is demonstrated via computer simulation |
| doi_str_mv | 10.1109/AERO.2006.1655908 |
| format | Conference Proceeding |
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Amplitude measurements of the return beam in the plane of the aperture are immune to turbulence, but contain limited information about the Fourier phase of the target image. This paper suggests a method for using blind deconvolution of laser speckle degraded imagery together with correlography techniques in order to simplify the phase retrieval problem and produce coherent image reconstructions with spatial resolution not limited by the atmospheric conditions. 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Amplitude measurements of the return beam in the plane of the aperture are immune to turbulence, but contain limited information about the Fourier phase of the target image. This paper suggests a method for using blind deconvolution of laser speckle degraded imagery together with correlography techniques in order to simplify the phase retrieval problem and produce coherent image reconstructions with spatial resolution not limited by the atmospheric conditions. The viability of the technique is demonstrated via computer simulation</description><subject>Apertures</subject><subject>Atmospheric measurements</subject><subject>Bayesian methods</subject><subject>Deconvolution</subject><subject>Degradation</subject><subject>Image reconstruction</subject><subject>Image retrieval</subject><subject>Laser beams</subject><subject>Phase measurement</subject><subject>Speckle</subject><issn>1095-323X</issn><issn>2996-2358</issn><isbn>9780780395459</isbn><isbn>078039545X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkNtqwzAQREUv0JDmA0pf9ANOJa0kW49pSG8EAqWFvhnJXjkqjhVkJ5C_r0syLCwMe4ZlCHngbM45M0-L1edmLhjTc66VMqy4IhNhjM4EqOKazExesHHAKKnMDZmMjMpAwM8dmfX9LxsllQQhJ6T8iKEbqGtDV9Maq9gdY3sYQuyoHZ2wsw3SKqaEbWyS3W9P9BgstfTZnrAPtrucpH-0H9KhOrNtE1MYtrt7cutt2-Pssqfk-2X1tXzL1pvX9-VinQUOUGSy8rW3uQFRe6-tkF4igOS5cJXQujBCAvLcaV_nDhlH51CBhULlntkxYkoez7kBEct9Gr9Kp_JSD_wB4F9YnQ</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Cain, S.C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2006</creationdate><title>Joint blind deconvolution and image correlography via a Bayesian image reconstruction algorithm</title><author>Cain, S.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1338-4cfdfa7932dff6a24f4e334172bc26689243e17b6fd7be01ebbe53a3857f0a133</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Apertures</topic><topic>Atmospheric measurements</topic><topic>Bayesian methods</topic><topic>Deconvolution</topic><topic>Degradation</topic><topic>Image reconstruction</topic><topic>Image retrieval</topic><topic>Laser beams</topic><topic>Phase measurement</topic><topic>Speckle</topic><toplevel>online_resources</toplevel><creatorcontrib>Cain, S.C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cain, S.C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Joint blind deconvolution and image correlography via a Bayesian image reconstruction algorithm</atitle><btitle>2006 IEEE Aerospace Conference</btitle><stitle>AERO</stitle><date>2006</date><risdate>2006</risdate><spage>6 pp.</spage><pages>6 pp.-</pages><issn>1095-323X</issn><eissn>2996-2358</eissn><isbn>9780780395459</isbn><isbn>078039545X</isbn><abstract>Laser imaging through atmospheric turbulence is a challenging problem due primarily to turbulence close to the aperture. Amplitude measurements of the return beam in the plane of the aperture are immune to turbulence, but contain limited information about the Fourier phase of the target image. This paper suggests a method for using blind deconvolution of laser speckle degraded imagery together with correlography techniques in order to simplify the phase retrieval problem and produce coherent image reconstructions with spatial resolution not limited by the atmospheric conditions. The viability of the technique is demonstrated via computer simulation</abstract><pub>IEEE</pub><doi>10.1109/AERO.2006.1655908</doi><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1095-323X |
| ispartof | 2006 IEEE Aerospace Conference, 2006, p.6 pp. |
| issn | 1095-323X 2996-2358 |
| language | eng |
| recordid | cdi_ieee_primary_1655908 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Apertures Atmospheric measurements Bayesian methods Deconvolution Degradation Image reconstruction Image retrieval Laser beams Phase measurement Speckle |
| title | Joint blind deconvolution and image correlography via a Bayesian image reconstruction algorithm |
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