Adaptive image representation with segmented orthogonal matching pursuit
In this paper a novel algorithm for adaptive signal expansion is presented. Here the main concern is to efficiently represent the natural images and audio signals. These signals are one or two dimensional signals with unknown or time-varying characteristics. For this type of signal, linear expansion...
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| creator | Rabiee, H.R. Kashyap, R.L. Safavian, S.R. |
| description | In this paper a novel algorithm for adaptive signal expansion is presented. Here the main concern is to efficiently represent the natural images and audio signals. These signals are one or two dimensional signals with unknown or time-varying characteristics. For this type of signal, linear expansion with a fixed set of basis functions is not flexible enough to represent the data with the desired degree of sparseness. We introduce a new algorithm called segmented orthogonal matching pursuit (SOMP). Our experimental results show that the SOMP algorithm is more suitable than the existing signal expansion algorithms for efficient representation of audio and visual information. |
| doi_str_mv | 10.1109/ICIP.1998.723354 |
| format | Conference Proceeding |
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Here the main concern is to efficiently represent the natural images and audio signals. These signals are one or two dimensional signals with unknown or time-varying characteristics. For this type of signal, linear expansion with a fixed set of basis functions is not flexible enough to represent the data with the desired degree of sparseness. We introduce a new algorithm called segmented orthogonal matching pursuit (SOMP). Our experimental results show that the SOMP algorithm is more suitable than the existing signal expansion algorithms for efficient representation of audio and visual information.</description><identifier>ISBN: 0818688211</identifier><identifier>ISBN: 9780818688218</identifier><identifier>DOI: 10.1109/ICIP.1998.723354</identifier><language>eng</language><publisher>IEEE</publisher><subject>Dictionaries ; Fourier transforms ; Image processing ; Image representation ; Image segmentation ; Matching pursuit algorithms ; Pursuit algorithms ; Robustness ; Signal processing ; Signal resolution</subject><ispartof>Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. 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No.98CB36269)</title><addtitle>ICIP</addtitle><description>In this paper a novel algorithm for adaptive signal expansion is presented. Here the main concern is to efficiently represent the natural images and audio signals. These signals are one or two dimensional signals with unknown or time-varying characteristics. For this type of signal, linear expansion with a fixed set of basis functions is not flexible enough to represent the data with the desired degree of sparseness. We introduce a new algorithm called segmented orthogonal matching pursuit (SOMP). Our experimental results show that the SOMP algorithm is more suitable than the existing signal expansion algorithms for efficient representation of audio and visual information.</description><subject>Dictionaries</subject><subject>Fourier transforms</subject><subject>Image processing</subject><subject>Image representation</subject><subject>Image segmentation</subject><subject>Matching pursuit algorithms</subject><subject>Pursuit algorithms</subject><subject>Robustness</subject><subject>Signal processing</subject><subject>Signal resolution</subject><isbn>0818688211</isbn><isbn>9780818688218</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj01Lw0AYhBdEUGvv4mn_QOJ-JPtxLEFtoKAHPZc32bfJSvPB7lbx3xtp5zIwPAwzhDxwlnPO7FNd1e85t9bkWkhZFlfkjhlulDGC8xuyjvGLLTJCa6tvyXbjYE7-G6kfoEMacA4YcUyQ_DTSH596GrEblgQdnULqp24a4UgHSG3vx47OpxBPPt2T6wMcI64vviKfL88f1Tbbvb3W1WaXec6KlAmtWGlKpVACKmhMA6Abxd2ysWAKHOI_IRprbdtqoZ1VXLauVfrQLLhckcdzr0fE_RyW2eF3f_4q_wDgRkud</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Rabiee, H.R.</creator><creator>Kashyap, R.L.</creator><creator>Safavian, S.R.</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>Adaptive image representation with segmented orthogonal matching pursuit</title><author>Rabiee, H.R. ; Kashyap, R.L. ; Safavian, S.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-276058566e3ae6ab8baa7b61d818406adee76052b999cc727d9613cdc67fbab83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Dictionaries</topic><topic>Fourier transforms</topic><topic>Image processing</topic><topic>Image representation</topic><topic>Image segmentation</topic><topic>Matching pursuit algorithms</topic><topic>Pursuit algorithms</topic><topic>Robustness</topic><topic>Signal processing</topic><topic>Signal resolution</topic><toplevel>online_resources</toplevel><creatorcontrib>Rabiee, H.R.</creatorcontrib><creatorcontrib>Kashyap, R.L.</creatorcontrib><creatorcontrib>Safavian, S.R.</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>Rabiee, H.R.</au><au>Kashyap, R.L.</au><au>Safavian, S.R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Adaptive image representation with segmented orthogonal matching pursuit</atitle><btitle>Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)</btitle><stitle>ICIP</stitle><date>1998</date><risdate>1998</risdate><volume>2</volume><spage>233</spage><epage>236 vol.2</epage><pages>233-236 vol.2</pages><isbn>0818688211</isbn><isbn>9780818688218</isbn><abstract>In this paper a novel algorithm for adaptive signal expansion is presented. Here the main concern is to efficiently represent the natural images and audio signals. These signals are one or two dimensional signals with unknown or time-varying characteristics. For this type of signal, linear expansion with a fixed set of basis functions is not flexible enough to represent the data with the desired degree of sparseness. We introduce a new algorithm called segmented orthogonal matching pursuit (SOMP). Our experimental results show that the SOMP algorithm is more suitable than the existing signal expansion algorithms for efficient representation of audio and visual information.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.1998.723354</doi></addata></record> |
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| identifier | ISBN: 0818688211 |
| ispartof | Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 1998, Vol.2, p.233-236 vol.2 |
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| language | eng |
| recordid | cdi_ieee_primary_723354 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Dictionaries Fourier transforms Image processing Image representation Image segmentation Matching pursuit algorithms Pursuit algorithms Robustness Signal processing Signal resolution |
| title | Adaptive image representation with segmented orthogonal matching pursuit |
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