{"id":"https://openalex.org/W2963716449","doi":"https://doi.org/10.1109/tfuzz.2019.2930028","title":"A Novel Fuzzy Clustering-Based Histogram Model for Image Contrast Enhancement","display_name":"A Novel Fuzzy Clustering-Based Histogram Model for Image Contrast Enhancement","publication_year":2019,"publication_date":"2019-07-22","ids":{"openalex":"https://openalex.org/W2963716449","doi":"https://doi.org/10.1109/tfuzz.2019.2930028","mag":"2963716449"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2019.2930028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2019.2930028","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-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/A5066467382","display_name":"Ashish Kumar Bhandari","orcid":"https://orcid.org/0000-0001-9842-8125"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish Kumar Bhandari","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, India"],"raw_orcid":"https://orcid.org/0000-0001-9842-8125","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063682063","display_name":"S. Shahnawazuddin","orcid":"https://orcid.org/0000-0002-3916-9693"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Syed Shahnawazuddin","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, India"],"raw_orcid":"https://orcid.org/0000-0002-3916-9693","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009237218","display_name":"A. Meena","orcid":"https://orcid.org/0000-0002-6115-3591"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ayur Kumar Meena","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, India"],"raw_orcid":"https://orcid.org/0000-0002-6115-3591","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, India","institution_ids":["https://openalex.org/I11793825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I11793825"],"apc_list":null,"apc_paid":null,"fwci":2.3821,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.91341808,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"28","issue":"9","first_page":"2009","last_page":"2021"},"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":0.9994999766349792,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9977999925613403,"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":0.8194952011108398},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.7679566144943237},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.6605126857757568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.654930055141449},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.6480536460876465},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6421570777893066},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6149017810821533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5770275592803955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5667567849159241},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4852421283721924},{"id":"https://openalex.org/keywords/balanced-histogram-thresholding","display_name":"Balanced histogram thresholding","score":0.47427067160606384},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4377742111682892},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43087708950042725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3714365065097809},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2975460886955261},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2757337987422943},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25192761421203613},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.2362993359565735},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.2148456871509552}],"concepts":[{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.8194952011108398},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.7679566144943237},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.6605126857757568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.654930055141449},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.6480536460876465},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6421570777893066},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6149017810821533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5770275592803955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5667567849159241},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4852421283721924},{"id":"https://openalex.org/C202577368","wikidata":"https://www.wikidata.org/wiki/Q2576067","display_name":"Balanced histogram thresholding","level":5,"score":0.47427067160606384},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4377742111682892},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43087708950042725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3714365065097809},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2975460886955261},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2757337987422943},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25192761421203613},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.2362993359565735},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.2148456871509552}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2019.2930028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2019.2930028","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1938336627","https://openalex.org/W1968422401","https://openalex.org/W1988649016","https://openalex.org/W1990368529","https://openalex.org/W1990517717","https://openalex.org/W1993150044","https://openalex.org/W2003342787","https://openalex.org/W2012414189","https://openalex.org/W2012554041","https://openalex.org/W2016622085","https://openalex.org/W2020986297","https://openalex.org/W2021219050","https://openalex.org/W2036497549","https://openalex.org/W2051785093","https://openalex.org/W2063784584","https://openalex.org/W2067191022","https://openalex.org/W2073751678","https://openalex.org/W2076252355","https://openalex.org/W2101981311","https://openalex.org/W2108305798","https://openalex.org/W2113076747","https://openalex.org/W2116899452","https://openalex.org/W2118002060","https://openalex.org/W2120627761","https://openalex.org/W2124843241","https://openalex.org/W2125732958","https://openalex.org/W2126621890","https://openalex.org/W2127218421","https://openalex.org/W2130155081","https://openalex.org/W2133665775","https://openalex.org/W2139375301","https://openalex.org/W2140498368","https://openalex.org/W2161040207","https://openalex.org/W2277273574","https://openalex.org/W2301327079","https://openalex.org/W2313383114","https://openalex.org/W2344062731","https://openalex.org/W2474134051","https://openalex.org/W2549545452","https://openalex.org/W2553231052","https://openalex.org/W2587580983","https://openalex.org/W2591722923","https://openalex.org/W2614501434","https://openalex.org/W2725393229","https://openalex.org/W2750270014","https://openalex.org/W2765911741","https://openalex.org/W2789469977","https://openalex.org/W2894531915","https://openalex.org/W4256068510","https://openalex.org/W6666881064","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2162593906","https://openalex.org/W4256469574","https://openalex.org/W2015245117","https://openalex.org/W2739372068","https://openalex.org/W2562776962","https://openalex.org/W2612807965","https://openalex.org/W2521033063","https://openalex.org/W2354812287","https://openalex.org/W2170563037","https://openalex.org/W2154257987"],"abstract_inverted_index":{"Histogram":[0,115],"equalization":[1,65],"is":[2,66,113,128,196,208],"a":[3,34,106,132,142,238],"famous":[4],"method":[5,180],"for":[6,46,82,163,218],"enhancing":[7],"the":[8,19,24,28,54,58,78,86,92,95,120,156,176,183,191,204,211,215,228,248],"contrast":[9,47,194,220,239],"and":[10,21,62,76,125,181,221],"image":[11,164,213],"features.":[12],"However,":[13],"in":[14,31,110,130,141,247],"few":[15],"cases,":[16],"it":[17],"causes":[18],"overenhancement,":[20],"hence":[22],"demolishes":[23],"natural":[25,245],"display":[26],"of":[27,57,73,80,94,105,108,122,149,159,161,172,187,214,227],"image.":[29,97],"Therefore,":[30],"this":[32],"article,":[33],"new":[35],"fuzzy":[36,177],"clustering":[37,171,179],"based":[38],"subhistogram":[39],"scheme":[40,101,147,230],"using":[41],"discrete":[42],"cosine":[43],"transform":[44],"(DCT)":[45],"enhancement":[48,195],"has":[49,117],"been":[50],"proposed.":[51],"For":[52],"preserving":[53],"distinctive":[55],"appearance":[56],"image,":[59],"histogram":[60,64,75,83,112,126,188],"division":[61,84,116],"separate":[63],"done":[67,118],"on":[68,119,198,210],"each":[69,135,199],"subhistogram.":[70],"The":[71,98,145,152,167,224],"way":[72,133],"dividing":[74],"calculating":[77],"numbers":[79],"parts":[81,109],"are":[85],"major":[87],"problems":[88],"which":[89,111],"directly":[90],"affects":[91],"quality":[93],"output":[96],"proposed":[99,146,229],"fuzzy-DCT":[100],"includes":[102,155,170],"automatic":[103,157],"calculation":[104,158],"number":[107,160],"divided.":[114],"basis":[121],"density":[123],"function":[124,186],"separation":[127],"computed":[129,197],"such":[131],"that":[134],"main":[136],"peak":[137],"can":[138],"be":[139],"divided":[140],"different":[143],"segment.":[144],"consists":[148],"four":[150],"stages.":[151],"first":[153],"stage":[154,169],"clusters":[162],"brightness":[165,173,222],"levels.":[166],"second":[168],"levels":[174],"by":[175],"c-means":[178],"utilizing":[182],"given":[184],"transfer":[185],"equalization.":[189],"In":[190,203],"third":[192,216],"stage,":[193,206],"individual":[200],"cluster":[201],"separately.":[202],"final":[205],"DCT":[207],"employed":[209],"resulting":[212],"step":[217],"better":[219],"preservation.":[223],"simulation":[225],"results":[226],"reveal":[231],"not":[232],"only":[233],"clearer":[234],"features":[235],"along":[236],"with":[237],"enhancement,":[240],"but":[241],"also":[242],"remarkably":[243],"more":[244],"look":[246],"images.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
