An Efficient Image Dehazing Method
A novel efficient dehazing technique for image reconstruction from single haze image is proposed in this paper. We employ an effective haze detector to detect the hazy image, and an efficient contrast enhancement technique for color images to reconstruct the hazy image. Extensive experimental result...
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creator | Chih-Yuan Lien Fu-Jhong Yang Chien-Chuan Huang |
description | A novel efficient dehazing technique for image reconstruction from single haze image is proposed in this paper. We employ an effective haze detector to detect the hazy image, and an efficient contrast enhancement technique for color images to reconstruct the hazy image. Extensive experimental results show that the proposed technique can obtain excellent performances of visual quality. since our approach requires lower computational complexity than other state-of-the-art techniques, it is very suitable to be applied to real-time applications. |
doi_str_mv | 10.1109/ICGEC.2012.47 |
format | Conference Proceeding |
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We employ an effective haze detector to detect the hazy image, and an efficient contrast enhancement technique for color images to reconstruct the hazy image. Extensive experimental results show that the proposed technique can obtain excellent performances of visual quality. since our approach requires lower computational complexity than other state-of-the-art techniques, it is very suitable to be applied to real-time applications.</description><identifier>ISBN: 9781467321389</identifier><identifier>ISBN: 1467321389</identifier><identifier>EISBN: 076954763X</identifier><identifier>EISBN: 9780769547633</identifier><identifier>DOI: 10.1109/ICGEC.2012.47</identifier><identifier>CODEN: IEEPAD</identifier><language>eng</language><publisher>IEEE</publisher><subject>Atmospheric modeling ; Brightness ; Computer vision ; Detectors ; haze ; Image color analysis ; image contrast enhancement ; Image reconstruction ; single image dehazing ; Visualization</subject><ispartof>2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012, p.348-351</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/6457112$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6457112$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chih-Yuan Lien</creatorcontrib><creatorcontrib>Fu-Jhong Yang</creatorcontrib><creatorcontrib>Chien-Chuan Huang</creatorcontrib><title>An Efficient Image Dehazing Method</title><title>2012 Sixth International Conference on Genetic and Evolutionary Computing</title><addtitle>icgec</addtitle><description>A novel efficient dehazing technique for image reconstruction from single haze image is proposed in this paper. We employ an effective haze detector to detect the hazy image, and an efficient contrast enhancement technique for color images to reconstruct the hazy image. Extensive experimental results show that the proposed technique can obtain excellent performances of visual quality. since our approach requires lower computational complexity than other state-of-the-art techniques, it is very suitable to be applied to real-time applications.</description><subject>Atmospheric modeling</subject><subject>Brightness</subject><subject>Computer vision</subject><subject>Detectors</subject><subject>haze</subject><subject>Image color analysis</subject><subject>image contrast enhancement</subject><subject>Image reconstruction</subject><subject>single image dehazing</subject><subject>Visualization</subject><isbn>9781467321389</isbn><isbn>1467321389</isbn><isbn>076954763X</isbn><isbn>9780769547633</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotzDFPwzAQQGEjhASUjEwsEXuC78722WMV0hKpiAUktspx7NaIBtRkgV8PEkxv-p4Q1yBrAOnuumbdNjVKwFrxibiUbJxWbOj1VBSOLSjDhEDWnYtimt6klL_OINGFuF2OZZtSDjmOc9kd_C6W93Hvv_O4Kx_jvP8YrsRZ8u9TLP67EC-r9rl5qDZP665ZbqoMrOdK9QSOpHeWgpWsycYQkAZOjhNGg-DQWeWD6sEB6pRYoxqG3hChlI4W4ubvm2OM289jPvjj19YozQBIP6a0PIs</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Chih-Yuan Lien</creator><creator>Fu-Jhong Yang</creator><creator>Chien-Chuan Huang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201208</creationdate><title>An Efficient Image Dehazing Method</title><author>Chih-Yuan Lien ; Fu-Jhong Yang ; Chien-Chuan Huang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-4b31930a983c807538ecc23d7f97f2e62192984ac4b19125ff7524ddb63320093</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Atmospheric modeling</topic><topic>Brightness</topic><topic>Computer vision</topic><topic>Detectors</topic><topic>haze</topic><topic>Image color analysis</topic><topic>image contrast enhancement</topic><topic>Image reconstruction</topic><topic>single image dehazing</topic><topic>Visualization</topic><toplevel>online_resources</toplevel><creatorcontrib>Chih-Yuan Lien</creatorcontrib><creatorcontrib>Fu-Jhong Yang</creatorcontrib><creatorcontrib>Chien-Chuan Huang</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>Chih-Yuan Lien</au><au>Fu-Jhong Yang</au><au>Chien-Chuan Huang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An Efficient Image Dehazing Method</atitle><btitle>2012 Sixth International Conference on Genetic and Evolutionary Computing</btitle><stitle>icgec</stitle><date>2012-08</date><risdate>2012</risdate><spage>348</spage><epage>351</epage><pages>348-351</pages><isbn>9781467321389</isbn><isbn>1467321389</isbn><eisbn>076954763X</eisbn><eisbn>9780769547633</eisbn><coden>IEEPAD</coden><abstract>A novel efficient dehazing technique for image reconstruction from single haze image is proposed in this paper. We employ an effective haze detector to detect the hazy image, and an efficient contrast enhancement technique for color images to reconstruct the hazy image. Extensive experimental results show that the proposed technique can obtain excellent performances of visual quality. since our approach requires lower computational complexity than other state-of-the-art techniques, it is very suitable to be applied to real-time applications.</abstract><pub>IEEE</pub><doi>10.1109/ICGEC.2012.47</doi><tpages>4</tpages></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Atmospheric modeling Brightness Computer vision Detectors haze Image color analysis image contrast enhancement Image reconstruction single image dehazing Visualization |
title | An Efficient Image Dehazing Method |
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