A Landweber algorithm for 3D confocal microscopy restoration
A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative deconvolution algorit...
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creator | Zhu, D. Razaz, M. Lee, R. |
description | A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative deconvolution algorithm (IDA). The experimental results show that the Landweber algorithm can effectively suppress background noise and remove asymmetric point spread function (PSF) degradation. Finally, a typical real 3D confocal image is restored by the Landweber algorithm and the results are compared with IDA. |
doi_str_mv | 10.1109/ICPR.2004.1334197 |
format | Conference Proceeding |
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The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative deconvolution algorithm (IDA). The experimental results show that the Landweber algorithm can effectively suppress background noise and remove asymmetric point spread function (PSF) degradation. 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ICPR 2004</title><addtitle>ICPR</addtitle><description>A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative deconvolution algorithm (IDA). The experimental results show that the Landweber algorithm can effectively suppress background noise and remove asymmetric point spread function (PSF) degradation. Finally, a typical real 3D confocal image is restored by the Landweber algorithm and the results are compared with IDA.</description><subject>Convergence</subject><subject>Deconvolution</subject><subject>Degradation</subject><subject>Equations</subject><subject>Image restoration</subject><subject>Iterative algorithms</subject><subject>Magnetic force microscopy</subject><subject>Scanning electron microscopy</subject><subject>Signal restoration</subject><subject>Signal to noise ratio</subject><issn>1051-4651</issn><issn>2831-7475</issn><isbn>0769521282</isbn><isbn>9780769521282</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotz81KAzEUQOHgD9hWH0Dc5AWm3pvkThJwU2rVQkERXZc0udGRtimZAenbu7Crs_vgCHGLMEUEf7-cv71PFYCZotYGvT0TI-U0NtZYOhdjsK0nhcqpCzFCIGxMS3glxn3_A6BAkxuJh5lchX365Q1XGbZfpXbD907mUqV-lLHsc4lhK3ddrKWP5XCUlfuh1DB0ZX8tLnPY9nxz6kR8Pi0-5i_N6vV5OZ-tmg4tDQ21AEmZNrREkI1zTmXGzBvyIbIlhrjxWYPziVKIaMBySs5nSolaz3oi7v7djpnXh9rtQj2uT9f6D726SZY</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Zhu, D.</creator><creator>Razaz, M.</creator><creator>Lee, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>A Landweber algorithm for 3D confocal microscopy restoration</title><author>Zhu, D. ; Razaz, M. ; Lee, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-5600d246a6550f48882fe1feb59ace75e0cb9f3089d5dac1407edd89f5dd569e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Convergence</topic><topic>Deconvolution</topic><topic>Degradation</topic><topic>Equations</topic><topic>Image restoration</topic><topic>Iterative algorithms</topic><topic>Magnetic force microscopy</topic><topic>Scanning electron microscopy</topic><topic>Signal restoration</topic><topic>Signal to noise ratio</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhu, D.</creatorcontrib><creatorcontrib>Razaz, M.</creatorcontrib><creatorcontrib>Lee, R.</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>Zhu, D.</au><au>Razaz, M.</au><au>Lee, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Landweber algorithm for 3D confocal microscopy restoration</atitle><btitle>Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004</btitle><stitle>ICPR</stitle><date>2004</date><risdate>2004</risdate><volume>1</volume><spage>552</spage><epage>555 Vol.1</epage><pages>552-555 Vol.1</pages><issn>1051-4651</issn><eissn>2831-7475</eissn><isbn>0769521282</isbn><isbn>9780769521282</isbn><abstract>A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative deconvolution algorithm (IDA). The experimental results show that the Landweber algorithm can effectively suppress background noise and remove asymmetric point spread function (PSF) degradation. Finally, a typical real 3D confocal image is restored by the Landweber algorithm and the results are compared with IDA.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.2004.1334197</doi></addata></record> |
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subjects | Convergence Deconvolution Degradation Equations Image restoration Iterative algorithms Magnetic force microscopy Scanning electron microscopy Signal restoration Signal to noise ratio |
title | A Landweber algorithm for 3D confocal microscopy restoration |
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