{"id":"https://openalex.org/W3164194435","doi":"https://doi.org/10.1109/tip.2021.3083448","title":"A Context-Based Image Contrast Enhancement Using Energy Equalization With Clipping Limit","display_name":"A Context-Based Image Contrast Enhancement Using Energy Equalization With Clipping Limit","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3164194435","doi":"https://doi.org/10.1109/tip.2021.3083448","mag":"3164194435","pmid":"https://pubmed.ncbi.nlm.nih.gov/34057893"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3083448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3083448","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5063876735","display_name":"Kankanala Srinivas","orcid":"https://orcid.org/0000-0002-0426-4850"},"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":"Kankanala Srinivas","raw_affiliation_strings":["National Institute of Technology Patna, Patna, India"],"raw_orcid":"https://orcid.org/0000-0002-0426-4850","affiliations":[{"raw_affiliation_string":"National Institute of Technology Patna, Patna, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"middle","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":["National Institute of Technology Patna, Patna, India"],"raw_orcid":"https://orcid.org/0000-0001-9842-8125","affiliations":[{"raw_affiliation_string":"National Institute of Technology Patna, Patna, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109974180","display_name":"Puli Kishore Kumar","orcid":"https://orcid.org/0000-0001-9828-4707"},"institutions":[{"id":"https://openalex.org/I4210153924","display_name":"National Institute of Technology Andhra Pradesh","ror":"https://ror.org/0456pcg54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210153924"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Puli Kishore Kumar","raw_affiliation_strings":["National Institute of Technology Andhra Pradesh, Tadepalligudem, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Andhra Pradesh, Tadepalligudem, India","institution_ids":["https://openalex.org/I4210153924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9786,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88327882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"5391","last_page":"5401"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9994000196456909,"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":0.6191906929016113},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5854828357696533},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.5194670557975769},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5166923999786377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5068333745002747},{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.5052173733711243},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4923642873764038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.426765501499176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40586721897125244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31472623348236084},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24003377556800842},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1565614938735962},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.07437661290168762}],"concepts":[{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.6191906929016113},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5854828357696533},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.5194670557975769},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5166923999786377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5068333745002747},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.5052173733711243},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4923642873764038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.426765501499176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40586721897125244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31472623348236084},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24003377556800842},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1565614938735962},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.07437661290168762},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3083448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3083448","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34057893","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34057893","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1644173899","https://openalex.org/W1665989579","https://openalex.org/W1964859077","https://openalex.org/W1971014006","https://openalex.org/W2011260964","https://openalex.org/W2012554041","https://openalex.org/W2015196405","https://openalex.org/W2021219050","https://openalex.org/W2031517929","https://openalex.org/W2036528686","https://openalex.org/W2064369665","https://openalex.org/W2101981311","https://openalex.org/W2108305798","https://openalex.org/W2116973876","https://openalex.org/W2119922429","https://openalex.org/W2120641882","https://openalex.org/W2121927366","https://openalex.org/W2125732958","https://openalex.org/W2130155081","https://openalex.org/W2133665775","https://openalex.org/W2139375301","https://openalex.org/W2140498368","https://openalex.org/W2141983208","https://openalex.org/W2146907897","https://openalex.org/W2161040207","https://openalex.org/W2301327079","https://openalex.org/W2587580983","https://openalex.org/W2947016132","https://openalex.org/W2948285125","https://openalex.org/W3198390318","https://openalex.org/W4206519171","https://openalex.org/W6763282009"],"related_works":["https://openalex.org/W2146963516","https://openalex.org/W2014628032","https://openalex.org/W2408673298","https://openalex.org/W2162802768","https://openalex.org/W2999895244","https://openalex.org/W287456800","https://openalex.org/W2535816038","https://openalex.org/W2136748848","https://openalex.org/W2126621890","https://openalex.org/W2037848675"],"abstract_inverted_index":{"In":[0,22],"this":[1],"paper,":[2],"a":[3,16,23,49],"new":[4],"context-based":[5],"image":[6,138],"contrast":[7,29],"enhancement":[8,30,96],"process":[9,56],"using":[10,32],"energy":[11,40,46,65,72,79,111,129],"curve":[12,47,80,112,130],"equalization":[13,148,166],"(ECE)":[14],"with":[15,162,168],"clipping":[17,89,172],"limit":[18,90],"has":[19],"been":[20],"proposed.":[21],"fundamental":[24],"anomaly":[25],"to":[26,63,82,92],"the":[27,35,39,45,58,64,71,77,86,94,101,104,120,127,135,147,163,171],"existing":[28],"practice":[31],"histogram":[33,165],"equalization,":[34],"projected":[36,151],"method":[37],"uses":[38],"curve.":[41,66],"The":[42,109,150],"computation":[43],"of":[44,103,126],"utilizes":[48],"modified":[50],"Hopfield":[51],"neural":[52],"network":[53],"architecture.":[54],"This":[55],"embraces":[57],"image's":[59],"spatial":[60],"adjacency":[61],"information":[62],"For":[67],"each":[68],"intensity":[69],"level,":[70],"value":[73],"is":[74,98,113,131,139,157],"calculated":[75],"and":[76,97,106,134,154,169],"overall":[78],"appears":[81],"be":[83],"smoother":[84],"than":[85],"histogram.":[87],"A":[88],"applies":[91],"evade":[93],"over":[95],"chosen":[99],"as":[100],"average":[102],"mean":[105],"median":[107],"value.":[108,123],"clipped":[110],"subdivided":[114,128],"into":[115],"three":[116],"regions":[117],"based":[118],"on":[119],"standard":[121],"deviation":[122],"Each":[124],"part":[125],"equalized":[132],"individually,":[133],"final":[136],"enhanced":[137],"produced":[140],"by":[141,146,159],"combining":[142],"transfer":[143],"functions":[144],"computed":[145],"process.":[149],"scheme's":[152],"qualitative":[153],"quantitative":[155],"efficiency":[156],"assessed":[158],"comparing":[160],"it":[161],"conventional":[164],"techniques":[167],"without":[170],"limit.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
