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Adaptive recursive image filtering
An edge preserving smoothing filter for images distorted by additive noise is developed as an example of recursive adaptive filtering. The filter attempts to minimize the local squared-error in each neighborhood of pixels. Its performance is compared to the original nonrecursive version of the same...
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container_end_page | 3020 vol.4 |
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container_start_page | 3017 |
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creator | Erler, K. Jernigan, E. |
description | An edge preserving smoothing filter for images distorted by additive noise is developed as an example of recursive adaptive filtering. The filter attempts to minimize the local squared-error in each neighborhood of pixels. Its performance is compared to the original nonrecursive version of the same filter.< > |
doi_str_mv | 10.1109/ICASSP.1991.151038 |
format | conference_proceeding |
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The filter attempts to minimize the local squared-error in each neighborhood of pixels. Its performance is compared to the original nonrecursive version of the same filter.< ></description><subject>Adaptive filters</subject><subject>Additive noise</subject><subject>Design engineering</subject><subject>Filtering</subject><subject>Image processing</subject><subject>Nonlinear filters</subject><subject>Signal processing</subject><subject>Smoothing methods</subject><subject>Stability</subject><subject>Systems engineering and theory</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>9780780300033</isbn><isbn>0780300033</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1991</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj0tLAzEUhYMPcKjzB7oq7jPeRzKZLEtRKxQUquCuzOOmRKqUzCj4741UuHA-zuLwXaXmCBUi-NvH1XK7fa7Qe6zQInBzpgpi5zV6eDtXpXcN5GMAYL5QBVoCXaPxV6ocx_dcg7HoDBfqZjm0xyl-yyJJ_5XGP4of7V4WIR4mSfFzf60uQ3sYpfzPmXq9v3tZrfXm6SGrbHRER5POJp6lsQyBezSByAN1tSWqu1aGYE3nuowENgTqnWU7YCayAQQN80zNT7tRRHbHlDXSz-70IP8C4BdAug</recordid><startdate>1991</startdate><enddate>1991</enddate><creator>Erler, K.</creator><creator>Jernigan, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1991</creationdate><title>Adaptive recursive image filtering</title><author>Erler, K. ; Jernigan, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-15193e8530f3c14f22902b65226baedf54b7b6ba205ff2c7535d1ff225f0e1433</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1991</creationdate><topic>Adaptive filters</topic><topic>Additive noise</topic><topic>Design engineering</topic><topic>Filtering</topic><topic>Image processing</topic><topic>Nonlinear filters</topic><topic>Signal processing</topic><topic>Smoothing methods</topic><topic>Stability</topic><topic>Systems engineering and theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Erler, K.</creatorcontrib><creatorcontrib>Jernigan, E.</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>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>Erler, K.</au><au>Jernigan, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Adaptive recursive image filtering</atitle><btitle>[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing</btitle><stitle>ICASSP</stitle><date>1991</date><risdate>1991</risdate><spage>3017</spage><epage>3020 vol.4</epage><pages>3017-3020 vol.4</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>9780780300033</isbn><isbn>0780300033</isbn><abstract>An edge preserving smoothing filter for images distorted by additive noise is developed as an example of recursive adaptive filtering. The filter attempts to minimize the local squared-error in each neighborhood of pixels. Its performance is compared to the original nonrecursive version of the same filter.< ></abstract><pub>IEEE</pub><doi>10.1109/ICASSP.1991.151038</doi></addata></record> |
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identifier | ISSN: 1520-6149 |
ispartof | [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991, p.3017-3020 vol.4 |
issn | 1520-6149 2379-190X |
language | eng |
recordid | cdi_ieee_primary_151038 |
source | IEEE Xplore All Conference Series |
subjects | Adaptive filters Additive noise Design engineering Filtering Image processing Nonlinear filters Signal processing Smoothing methods Stability Systems engineering and theory |
title | Adaptive recursive image filtering |
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