{"id":"https://openalex.org/W2056576340","doi":"https://doi.org/10.1109/cisp.2010.5647226","title":"Color image contrast enhancement by co-occurrence histogram equalization and dark channel prior","display_name":"Color image contrast enhancement by co-occurrence histogram equalization and dark channel prior","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2056576340","doi":"https://doi.org/10.1109/cisp.2010.5647226","mag":"2056576340"},"language":"en","primary_location":{"id":"doi:10.1109/cisp.2010.5647226","doi":"https://doi.org/10.1109/cisp.2010.5647226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp.2010.5647226","pdf_url":null,"source":{"id":"https://openalex.org/S4363605216","display_name":"International Congress on Image and Signal Processing (CISP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 3rd International Congress on Image and Signal Processing","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5101514950","display_name":"Hongbo Yang","orcid":"https://orcid.org/0000-0002-2088-5681","observed_orcids":["https://orcid.org/0000-0002-2088-5681"]},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Yang","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China","[School of automation, Beijing Information Science & Technology University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"[School of automation, Beijing Information Science & Technology University, Beijing, China]","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045193647","display_name":"Jiuhe Wang","orcid":"https://orcid.org/0000-0002-3866-4131","observed_orcids":["https://orcid.org/0000-0002-3866-4131","https://orcid.org/0000-0001-9648-6700"]},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuhe Wang","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China","[School of automation, Beijing Information Science & Technology University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"[School of automation, Beijing Information Science & Technology University, Beijing, China]","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":null,"apc_paid":null,"fwci":0.552,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.56562947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"659","last_page":"663"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dark-channel-prior","display_name":"dark channel prior","score":0.996999979019165},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"histogram equalization","score":0.8790000081062317},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.8560000061988831}],"concepts":[{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.9191375970840454},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.7687468528747559},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.7573862671852112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7522849440574646},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.7316772937774658},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7170567512512207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6390121579170227},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6093116998672485},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5815384387969971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5634530186653137},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5514026880264282},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.5440009236335754},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.537065327167511},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5181320905685425},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5044485330581665},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.4659394323825836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44620954990386963},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.4305761456489563},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31344032287597656},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18623405694961548},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp.2010.5647226","doi":"https://doi.org/10.1109/cisp.2010.5647226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp.2010.5647226","pdf_url":null,"source":{"id":"https://openalex.org/S4363605216","display_name":"International Congress on Image and Signal Processing (CISP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 3rd International Congress on Image and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W207434894","https://openalex.org/W1990592195","https://openalex.org/W2016683572","https://openalex.org/W2021219050","https://openalex.org/W2038713671","https://openalex.org/W2058333183","https://openalex.org/W2101981311","https://openalex.org/W2124843241","https://openalex.org/W2128254161","https://openalex.org/W2129526018","https://openalex.org/W2139375301","https://openalex.org/W2141704978","https://openalex.org/W2145268773","https://openalex.org/W4302070335"],"related_works":["https://openalex.org/W2364293548","https://openalex.org/W2859285620","https://openalex.org/W1980032602","https://openalex.org/W3198143289","https://openalex.org/W2082195868","https://openalex.org/W2165341978","https://openalex.org/W2318532404","https://openalex.org/W2329804110","https://openalex.org/W2577710705","https://openalex.org/W2364840701"],"abstract_inverted_index":{"A":[0],"novel":[1],"color":[2,11,21,104],"image":[3,88],"contrast":[4,89],"enhancement":[5,90],"approach":[6],"is":[7,91,98,122],"proposed":[8,92,133],"that":[9,54,131],"equalizes":[10],"components":[12,22],"dependently":[13],"using":[14],"cooccurrence":[15],"histogram.":[16],"And":[17],"then":[18],"the":[19,24,41,49,55,68,102,132,137],"enhanced":[20],"are":[23,40,57],"trade-off":[25],"between":[26],"co-occurrence":[27],"histogram":[28,84],"equalization":[29,35,85],"and":[30,37,114],"dark":[31,119],"channel":[32,120],"prior.":[33],"Histogram":[34],"(HE)":[36],"its":[38,80],"derivatives":[39],"most":[42],"common":[43],"used":[44,123],"methods.":[45],"They":[46],"don't":[47],"consider":[48],"spatial":[50],"gray-level":[51,78],"correlations":[52],"so":[53],"equalizations":[56],"applied":[58,99],"for":[59,87],"all":[60],"gray-levels":[61],"appeared":[62],"in":[63,67,111],"an":[64],"image.":[65],"However,":[66],"fact,":[69],"it":[70],"will":[71],"be":[72],"more":[73],"effective":[74],"to":[75,93,101,124],"equalize":[76],"a":[77],"with":[79],"spatial-adjacent":[81],"gray-levels.":[82],"Co-occurrence":[83],"(COHE)":[86],"overcome":[94],"this":[95,117,126],"problem.":[96,127],"It":[97],"here":[100],"RGB":[103,138],"space.":[105],"But":[106],"dependent":[107],"COHE":[108],"perhaps":[109],"result":[110],"hue":[112],"changes":[113],"artifacts.":[115],"In":[116],"paper":[118],"prior":[121],"solve":[125],"Experimental":[128],"results":[129],"demonstrate":[130],"method":[134],"can":[135],"enhance":[136],"images":[139],"effectively.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
