{"id":"https://openalex.org/W2119787621","doi":"https://doi.org/10.1109/ivmspw.2011.5970351","title":"Local correction with global constraint for image enhancement","display_name":"Local correction with global constraint for image enhancement","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2119787621","doi":"https://doi.org/10.1109/ivmspw.2011.5970351","mag":"2119787621"},"language":"en","primary_location":{"id":"doi:10.1109/ivmspw.2011.5970351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivmspw.2011.5970351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102984524","display_name":"Zujun Hou","orcid":"https://orcid.org/0000-0002-3354-7358"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Zujun Hou","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079819926","display_name":"How\u2010Lung Eng","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"How-Lung Eng","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110333830","display_name":"Tong-San Koh","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tong-San Koh","raw_affiliation_strings":["School of EEE, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of EEE, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102984524"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16343298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"36","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.7656242847442627},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.7315841913223267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6098230481147766},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.578977108001709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5582712292671204},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.543635904788971},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5435982942581177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5294610857963562},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5195193886756897},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5047191381454468},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4425075650215149},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4247850179672241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4167178273200989},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.41254448890686035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3390597403049469},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2650882601737976},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13472285866737366},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1296159029006958},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09940341114997864},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08440843224525452},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07580775022506714}],"concepts":[{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.7656242847442627},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7315841913223267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6098230481147766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.578977108001709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5582712292671204},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.543635904788971},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5435982942581177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5294610857963562},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5195193886756897},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5047191381454468},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4425075650215149},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4247850179672241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4167178273200989},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.41254448890686035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3390597403049469},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2650882601737976},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13472285866737366},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1296159029006958},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09940341114997864},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08440843224525452},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07580775022506714},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivmspw.2011.5970351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivmspw.2011.5970351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W46219734","https://openalex.org/W2001412060","https://openalex.org/W2021398366","https://openalex.org/W2058333183","https://openalex.org/W2076205488","https://openalex.org/W2078638017","https://openalex.org/W2113511941","https://openalex.org/W2114531724","https://openalex.org/W2115683997","https://openalex.org/W2125732958","https://openalex.org/W2133251749","https://openalex.org/W2141704978","https://openalex.org/W2145023731","https://openalex.org/W2145744030","https://openalex.org/W2146086273","https://openalex.org/W2155216327","https://openalex.org/W2164847484","https://openalex.org/W2168604797","https://openalex.org/W2171369032","https://openalex.org/W4256068510"],"related_works":["https://openalex.org/W2545065926","https://openalex.org/W2387510934","https://openalex.org/W3169126738","https://openalex.org/W3093839383","https://openalex.org/W2056066761","https://openalex.org/W2130933797","https://openalex.org/W2305304842","https://openalex.org/W2015446345","https://openalex.org/W2383691328","https://openalex.org/W4313525844"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,96],"method":[4,135],"to":[5,25,75],"improve":[6],"the":[7,21,27,36,50,57,60,66,70,77,81,86,89,104,119,130,133,137],"image":[8,18,22,122],"contrast":[9,34,120,139],"adaptively":[10,114],"with":[11,32,42,99,107],"account":[12],"of":[13,65,85,118,121,132],"both":[14],"local":[15],"and":[16,35,59,113],"global":[17],"context.":[19],"Firstly,":[20],"is":[23,47,73,92],"analyzed":[24],"find":[26],"region":[28,37,72,91],"containing":[29,38],"meaningful":[30,39],"contents":[31,40,87,123],"good":[33],"but":[41],"poor":[43,108],"contrast.":[44],"The":[45],"analysis":[46],"based":[48],"on":[49],"different":[51],"responses":[52],"from":[53],"two":[54],"edge":[55],"detectors:":[56],"Canny":[58],"zero-crossing":[61],"detector.":[62],"Then":[63],"statistics":[64],"gradient":[67,78],"field":[68,79],"in":[69,80,88],"former":[71],"utilized":[74],"correct":[76],"latter":[82,90],"region.":[83],"Reconstruction":[84],"accomplished":[93],"through":[94],"solving":[95],"Poisson":[97],"equation":[98],"Dirichlet":[100],"boundary":[101],"conditions.":[102],"Throughout":[103],"process,":[105],"objects":[106],"visibility":[109],"are":[110,125],"automatically":[111],"detected":[112],"enhanced":[115],"without":[116],"sacrifice":[117],"that":[124],"properly":[126],"illuminated.":[127],"Experiments":[128],"show":[129],"advantages":[131],"proposed":[134],"over":[136],"conventional":[138],"enhancement":[140],"methods.":[141]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
