An image processing resolution enhancement method for single-pixel targets

A resolution enhancement technique for image processing systems is advantageous for applications limited to small sensor arrays or when relatively high resolution is required. The spatial quantization of image sensors causes a nonlinear input-output relationship which is a basic limitation. A new ar...

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Hauptverfasser:	Dempsey, G.L., McVey, E.S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Image edge detection Image processing Image resolution Image sensors Perturbation methods Pixel Quantization Sensor arrays Sensor phenomena and characterization Spatial resolution
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container_end_page	450 vol.1
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creator	Dempsey, G.L. McVey, E.S.
description	A resolution enhancement technique for image processing systems is advantageous for applications limited to small sensor arrays or when relatively high resolution is required. The spatial quantization of image sensors causes a nonlinear input-output relationship which is a basic limitation. A new artificial means of perturbing the sensor array is presented that enhances resolution by smoothing the nonlinear input-output characteristic. Simulation results demonstrate that effective quantization accuracy can be improved by over two orders of magnitude in two dimensions. The method is limited to systems in which the target image is approximately single-pixel in size and of uniform intensity. System implementations using the Hough transform meet the requirements for the new method.< >
doi_str_mv	10.1109/ACSSC.1992.269232
format	Conference Proceeding
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The spatial quantization of image sensors causes a nonlinear input-output relationship which is a basic limitation. A new artificial means of perturbing the sensor array is presented that enhances resolution by smoothing the nonlinear input-output characteristic. Simulation results demonstrate that effective quantization accuracy can be improved by over two orders of magnitude in two dimensions. The method is limited to systems in which the target image is approximately single-pixel in size and of uniform intensity. System implementations using the Hough transform meet the requirements for the new method.< ></description><identifier>ISSN: 1058-6393</identifier><identifier>ISBN: 0818631600</identifier><identifier>ISBN: 9780818631603</identifier><identifier>EISSN: 2576-2303</identifier><identifier>DOI: 10.1109/ACSSC.1992.269232</identifier><language>eng</language><publisher>IEEE Comput. Soc. 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The spatial quantization of image sensors causes a nonlinear input-output relationship which is a basic limitation. A new artificial means of perturbing the sensor array is presented that enhances resolution by smoothing the nonlinear input-output characteristic. Simulation results demonstrate that effective quantization accuracy can be improved by over two orders of magnitude in two dimensions. The method is limited to systems in which the target image is approximately single-pixel in size and of uniform intensity. System implementations using the Hough transform meet the requirements for the new method.< ></description><subject>Image edge detection</subject><subject>Image processing</subject><subject>Image resolution</subject><subject>Image sensors</subject><subject>Perturbation methods</subject><subject>Pixel</subject><subject>Quantization</subject><subject>Sensor arrays</subject><subject>Sensor phenomena and characterization</subject><subject>Spatial resolution</subject><issn>1058-6393</issn><issn>2576-2303</issn><isbn>0818631600</isbn><isbn>9780818631603</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1992</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkM1ugzAQhK3-SE3TPEB78gtAvWsW7CNC_VWkHtKeIwILcQUGYSq1b1-qdC4zh0-j0QhxCyoGUPY-L3a7IgZrMcbUosYzsULK0gi10ufiWhkwqYZUqQuxAkUmSrXVV2ITwqdalBAklK3Ea-6l68uW5TgNFYfgfCsnDkP3NbvBS_bH0lfcs59lz_NxqGUzTPIP6zga3Td3ci6nludwIy6bsgu8-fe1-Hh8eC-eo-3b00uRbyMHWTJHRhEiIyUNlUTWWOAMG11nBg8AmnSSLEnZslFca6gXoCKsDmSZarRGr8Xdqdcx836clvnTz_70gv4FP2VOag</recordid><startdate>1992</startdate><enddate>1992</enddate><creator>Dempsey, G.L.</creator><creator>McVey, E.S.</creator><general>IEEE Comput. Soc. Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1992</creationdate><title>An image processing resolution enhancement method for single-pixel targets</title><author>Dempsey, G.L. ; McVey, E.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i174t-80522e254f5a559891e72f3d782b113534482b09af0ed31d891c52cb59e5d2983</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Image edge detection</topic><topic>Image processing</topic><topic>Image resolution</topic><topic>Image sensors</topic><topic>Perturbation methods</topic><topic>Pixel</topic><topic>Quantization</topic><topic>Sensor arrays</topic><topic>Sensor phenomena and characterization</topic><topic>Spatial resolution</topic><toplevel>online_resources</toplevel><creatorcontrib>Dempsey, G.L.</creatorcontrib><creatorcontrib>McVey, E.S.</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>Dempsey, G.L.</au><au>McVey, E.S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An image processing resolution enhancement method for single-pixel targets</atitle><btitle>[1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers</btitle><stitle>ACSSC</stitle><date>1992</date><risdate>1992</risdate><spage>446</spage><epage>450 vol.1</epage><pages>446-450 vol.1</pages><issn>1058-6393</issn><eissn>2576-2303</eissn><isbn>0818631600</isbn><isbn>9780818631603</isbn><abstract>A resolution enhancement technique for image processing systems is advantageous for applications limited to small sensor arrays or when relatively high resolution is required. The spatial quantization of image sensors causes a nonlinear input-output relationship which is a basic limitation. A new artificial means of perturbing the sensor array is presented that enhances resolution by smoothing the nonlinear input-output characteristic. Simulation results demonstrate that effective quantization accuracy can be improved by over two orders of magnitude in two dimensions. The method is limited to systems in which the target image is approximately single-pixel in size and of uniform intensity. System implementations using the Hough transform meet the requirements for the new method.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ACSSC.1992.269232</doi></addata></record>
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identifier	ISSN: 1058-6393
ispartof	[1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers, 1992, p.446-450 vol.1
issn	1058-6393 2576-2303
language	eng
recordid	cdi_ieee_primary_269232
source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Image edge detection Image processing Image resolution Image sensors Perturbation methods Pixel Quantization Sensor arrays Sensor phenomena and characterization Spatial resolution
title	An image processing resolution enhancement method for single-pixel targets
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