Synthesis filter bank with low memory requirements for image subband coding
One of the factors that makes subband coding seem less attractive for image processing compared to transform coding, is the extensive memory requirements for 2-D filtering. In this paper we present a filtering method that significantly lowers the memory requirements. A parallel, uniform and separabl...
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creator | Sundsbo, I. Ramstad, T.A. |
description | One of the factors that makes subband coding seem less attractive for image processing compared to transform coding, is the extensive memory requirements for 2-D filtering. In this paper we present a filtering method that significantly lowers the memory requirements. A parallel, uniform and separable filter bank with 8 channels in each dimension is considered. It is shown that by a data reordering and a minor structural change to the filter bank, a blockwise filtering is made possible, thus reducing the total memory to 192 B registers and 9 KB RAM for an image of size 1152/spl times/1920 pixels. |
doi_str_mv | 10.1109/ISCAS.1998.694532 |
format | Conference Proceeding |
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In this paper we present a filtering method that significantly lowers the memory requirements. A parallel, uniform and separable filter bank with 8 channels in each dimension is considered. It is shown that by a data reordering and a minor structural change to the filter bank, a blockwise filtering is made possible, thus reducing the total memory to 192 B registers and 9 KB RAM for an image of size 1152/spl times/1920 pixels.</description><identifier>ISBN: 9780780344556</identifier><identifier>ISBN: 0780344553</identifier><identifier>DOI: 10.1109/ISCAS.1998.694532</identifier><language>eng</language><publisher>IEEE</publisher><subject>Channel bank filters ; Filter bank ; Filtering ; Image coding ; Image processing ; Pixel ; Random access memory ; Read-write memory ; Registers ; Transform coding</subject><ispartof>1998 IEEE International Symposium on Circuits and Systems (ISCAS), 1998, Vol.5, p.461-464 vol.5</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/694532$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/694532$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Sundsbo, I.</creatorcontrib><creatorcontrib>Ramstad, T.A.</creatorcontrib><title>Synthesis filter bank with low memory requirements for image subband coding</title><title>1998 IEEE International Symposium on Circuits and Systems (ISCAS)</title><addtitle>ISCAS</addtitle><description>One of the factors that makes subband coding seem less attractive for image processing compared to transform coding, is the extensive memory requirements for 2-D filtering. In this paper we present a filtering method that significantly lowers the memory requirements. A parallel, uniform and separable filter bank with 8 channels in each dimension is considered. It is shown that by a data reordering and a minor structural change to the filter bank, a blockwise filtering is made possible, thus reducing the total memory to 192 B registers and 9 KB RAM for an image of size 1152/spl times/1920 pixels.</description><subject>Channel bank filters</subject><subject>Filter bank</subject><subject>Filtering</subject><subject>Image coding</subject><subject>Image processing</subject><subject>Pixel</subject><subject>Random access memory</subject><subject>Read-write memory</subject><subject>Registers</subject><subject>Transform coding</subject><isbn>9780780344556</isbn><isbn>0780344553</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT9tqwzAUM4zBRpcP6J78A8ns-BL7sYRdygp7yPpcHPuk9ZbLZqeU_P0MnRAIgRASQmtKCkqJfto29aYpqNaqkJoLVt6gTFeKJDLOhZB3KIvxiyQkR5i-R-_NMs4niD7izvczBNya8Rtf_HzC_XTBAwxTWHCA37MPMMA4p-AUsB_MEXA8tynusJ2cH48P6LYzfYTsX1do__L8Wb_lu4_Xbb3Z5Z4SPudGdsK6SpiW0lIwQqUB4KoSvLUqGVsZJZxQEsAoXupStNqBNJLTiltO2Ao9Xns9ABx-QtoSlsP1MfsDhS5Mmg</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Sundsbo, I.</creator><creator>Ramstad, T.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1998</creationdate><title>Synthesis filter bank with low memory requirements for image subband coding</title><author>Sundsbo, I. ; Ramstad, T.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-a6f5cd75ab11253016aee48754bc816ac7a85d586eea842925b9de6a64174c403</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Channel bank filters</topic><topic>Filter bank</topic><topic>Filtering</topic><topic>Image coding</topic><topic>Image processing</topic><topic>Pixel</topic><topic>Random access memory</topic><topic>Read-write memory</topic><topic>Registers</topic><topic>Transform coding</topic><toplevel>online_resources</toplevel><creatorcontrib>Sundsbo, I.</creatorcontrib><creatorcontrib>Ramstad, T.A.</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>Sundsbo, I.</au><au>Ramstad, T.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Synthesis filter bank with low memory requirements for image subband coding</atitle><btitle>1998 IEEE International Symposium on Circuits and Systems (ISCAS)</btitle><stitle>ISCAS</stitle><date>1998</date><risdate>1998</risdate><volume>5</volume><spage>461</spage><epage>464 vol.5</epage><pages>461-464 vol.5</pages><isbn>9780780344556</isbn><isbn>0780344553</isbn><abstract>One of the factors that makes subband coding seem less attractive for image processing compared to transform coding, is the extensive memory requirements for 2-D filtering. In this paper we present a filtering method that significantly lowers the memory requirements. A parallel, uniform and separable filter bank with 8 channels in each dimension is considered. It is shown that by a data reordering and a minor structural change to the filter bank, a blockwise filtering is made possible, thus reducing the total memory to 192 B registers and 9 KB RAM for an image of size 1152/spl times/1920 pixels.</abstract><pub>IEEE</pub><doi>10.1109/ISCAS.1998.694532</doi></addata></record> |
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ispartof | 1998 IEEE International Symposium on Circuits and Systems (ISCAS), 1998, Vol.5, p.461-464 vol.5 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Channel bank filters Filter bank Filtering Image coding Image processing Pixel Random access memory Read-write memory Registers Transform coding |
title | Synthesis filter bank with low memory requirements for image subband coding |
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