{"id":"https://openalex.org/W3016160415","doi":"https://doi.org/10.1109/icassp40776.2020.9054004","title":"Reflectance-Guided, Contrast-Accumulated Histogram Equalization","display_name":"Reflectance-Guided, Contrast-Accumulated Histogram Equalization","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016160415","doi":"https://doi.org/10.1109/icassp40776.2020.9054004","mag":"3016160415"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5036223449","display_name":"Xiaomeng Wu","orcid":"https://orcid.org/0000-0003-2816-1781"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xiaomeng Wu","raw_affiliation_strings":["Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029349765","display_name":"Takahito Kawanishi","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahito Kawanishi","raw_affiliation_strings":["Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061465935","display_name":"Kunio Kashino","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunio Kashino","raw_affiliation_strings":["Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036223449"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.54616186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2498","last_page":"2502"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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":0.9979000091552734,"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/histogram-equalization","display_name":"Histogram equalization","score":0.8792414665222168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7268779277801514},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.6784186959266663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6551373600959778},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6470569372177124},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.6312052011489868},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6162703037261963},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6046561002731323},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6007200479507446},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5907648801803589},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5624189376831055},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5026490688323975},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4949187636375427},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.48941031098365784},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4275185465812683},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4140501618385315},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.2895556688308716},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.252968966960907},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09782096743583679},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.060159116983413696}],"concepts":[{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.8792414665222168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7268779277801514},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.6784186959266663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6551373600959778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6470569372177124},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.6312052011489868},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6162703037261963},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6046561002731323},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6007200479507446},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5907648801803589},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5624189376831055},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5026490688323975},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4949187636375427},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.48941031098365784},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4275185465812683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4140501618385315},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.2895556688308716},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.252968966960907},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09782096743583679},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.060159116983413696},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1644173899","https://openalex.org/W1983044509","https://openalex.org/W1987444808","https://openalex.org/W1998983504","https://openalex.org/W2023005931","https://openalex.org/W2052452674","https://openalex.org/W2054814429","https://openalex.org/W2056370875","https://openalex.org/W2061052400","https://openalex.org/W2078718577","https://openalex.org/W2110158442","https://openalex.org/W2113350594","https://openalex.org/W2125188192","https://openalex.org/W2125732958","https://openalex.org/W2141704978","https://openalex.org/W2145744030","https://openalex.org/W2150721269","https://openalex.org/W2231495490","https://openalex.org/W2467925347","https://openalex.org/W2468596194","https://openalex.org/W2566376500","https://openalex.org/W2593264379","https://openalex.org/W2621247553","https://openalex.org/W2735974062","https://openalex.org/W2756339420","https://openalex.org/W2767356570","https://openalex.org/W2798844427","https://openalex.org/W2799396445","https://openalex.org/W2894505661","https://openalex.org/W2920968490","https://openalex.org/W2948354154","https://openalex.org/W2963466723","https://openalex.org/W2963967766","https://openalex.org/W2981718299","https://openalex.org/W2996868574","https://openalex.org/W3098202664","https://openalex.org/W3125028070"],"related_works":["https://openalex.org/W2162593906","https://openalex.org/W4256469574","https://openalex.org/W2015245117","https://openalex.org/W2376822833","https://openalex.org/W2521033063","https://openalex.org/W1999887679","https://openalex.org/W2393164332","https://openalex.org/W2739372068","https://openalex.org/W2945008095","https://openalex.org/W2076114931"],"abstract_inverted_index":{"Existing":[0],"image":[1,19,60,86,112],"enhancement":[2,40],"methods":[3],"fall":[4],"short":[5],"of":[6,38,45,74,85],"expectations":[7],"because":[8],"with":[9,89],"them":[10],"it":[11],"is":[12],"difficult":[13],"to":[14,34],"improve":[15],"global":[16,50],"and":[17,41,108],"local":[18],"contrast":[20],"simultaneously.":[21],"To":[22,69],"address":[23],"this":[24],"problem,":[25],"we":[26,77],"propose":[27,78],"a":[28],"histogram":[29,67],"equalization-based":[30],"method":[31,53,94],"that":[32],"adapts":[33],"the":[35,43,49,55,71,83,101,116],"data-dependent":[36],"requirements":[37],"brightness":[39,103],"improves":[42],"visibility":[44],"details":[46,113],"without":[47],"losing":[48],"contrast.":[51],"This":[52],"incorporates":[54],"spatial":[56,80],"information":[57,81],"provided":[58],"by":[59],"context":[61],"in":[62,115],"density":[63],"estimation":[64],"for":[65,98,109],"discriminative":[66],"equalization.":[68],"minimize":[70],"adverse":[72],"effect":[73],"non-uniform":[75],"illumination,":[76],"defining":[79],"on":[82],"basis":[84],"reflectance":[87],"estimated":[88],"edge":[90],"preserving":[91],"smoothing.":[92],"Our":[93],"works":[95],"particularly":[96],"well":[97],"determining":[99],"how":[100],"background":[102],"should":[104],"be":[105],"adaptively":[106],"adjusted":[107],"revealing":[110],"useful":[111],"hidden":[114],"dark.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T23:17:08.748858","created_date":"2025-10-10T00:00:00"}