{"id":"https://openalex.org/W2769277030","doi":"https://doi.org/10.1109/tcsvt.2017.2773461","title":"A Fast Image Contrast Enhancement Algorithm Using Entropy-Preserving Mapping Prior","display_name":"A Fast Image Contrast Enhancement Algorithm Using Entropy-Preserving Mapping Prior","publication_year":2017,"publication_date":"2017-11-14","ids":{"openalex":"https://openalex.org/W2769277030","doi":"https://doi.org/10.1109/tcsvt.2017.2773461","mag":"2769277030"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2017.2773461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2773461","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5003990275","display_name":"Bo\u2010Hao Chen","orcid":"https://orcid.org/0000-0002-7999-3396"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Bo-Hao Chen","raw_affiliation_strings":["Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-7999-3396","affiliations":[{"raw_affiliation_string":"Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102794505","display_name":"Yuling Wu","orcid":"https://orcid.org/0000-0003-3927-479X"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ling Wu","raw_affiliation_strings":["Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102746507","display_name":"Ling-Feng Shi","orcid":"https://orcid.org/0000-0003-3795-0440"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ling-Feng Shi","raw_affiliation_strings":["Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003990275"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":1.2018,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.87635797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"1","first_page":"38","last_page":"49"},"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":0.9980999827384949,"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":0.9980000257492065,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6991641521453857},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.68914794921875},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"Contrast enhancement","score":0.6717159748077393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6465439200401306},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5443981289863586},{"id":"https://openalex.org/keywords/image-contrast","display_name":"Image contrast","score":0.5138516426086426},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5132191181182861},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.49184417724609375},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.47903814911842346},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45887982845306396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4519113004207611},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4434874355792999},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.43798476457595825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34601929783821106}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6991641521453857},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.68914794921875},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.6717159748077393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6465439200401306},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5443981289863586},{"id":"https://openalex.org/C3018302497","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Image contrast","level":2,"score":0.5138516426086426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5132191181182861},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.49184417724609375},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.47903814911842346},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45887982845306396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4519113004207611},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4434874355792999},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.43798476457595825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34601929783821106},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2017.2773461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2773461","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2563819091","display_name":null,"funder_award_id":"MOST 106-2218-E-155-007","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G5111474384","display_name":null,"funder_award_id":"MOST 105-2218-E-155-003","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G6166556654","display_name":null,"funder_award_id":"MOST 105-2218-E-155-010","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G6540510013","display_name":null,"funder_award_id":"MOST 106-2221-E-155-066","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1946620893","https://openalex.org/W1972612668","https://openalex.org/W1988649016","https://openalex.org/W2005089986","https://openalex.org/W2011260964","https://openalex.org/W2030009277","https://openalex.org/W2053098484","https://openalex.org/W2054814429","https://openalex.org/W2058333183","https://openalex.org/W2073751678","https://openalex.org/W2089182596","https://openalex.org/W2092663520","https://openalex.org/W2093900566","https://openalex.org/W2096768337","https://openalex.org/W2121900453","https://openalex.org/W2126588970","https://openalex.org/W2139375301","https://openalex.org/W2330056217","https://openalex.org/W2335938495","https://openalex.org/W2341392536","https://openalex.org/W2344062731","https://openalex.org/W2464754550","https://openalex.org/W2737108540","https://openalex.org/W3198390318","https://openalex.org/W4253920039","https://openalex.org/W6663842636","https://openalex.org/W6679059774"],"related_works":["https://openalex.org/W1987421842","https://openalex.org/W3211387963","https://openalex.org/W2890853391","https://openalex.org/W4289547737","https://openalex.org/W4205636054","https://openalex.org/W3036564121","https://openalex.org/W2160190908","https://openalex.org/W2387463888","https://openalex.org/W2367306266","https://openalex.org/W2951167542"],"abstract_inverted_index":{"Contrast":[0],"enhancement":[1,18,58,71],"is":[2],"a":[3,55,75],"crucial":[4],"image":[5,9,28,81],"processing":[6],"step":[7],"for":[8,78],"quality":[10,29],"control.":[11,30],"However,":[12],"images":[13],"enhanced":[14],"by":[15],"conventional":[16,69],"contrast":[17,57,70,82,101],"methods":[19,121],"can":[20,104],"have":[21],"negative":[22],"effects":[23,35,40],"on":[24,41,61,68],"the":[25,80,89,92,118],"performance":[26],"of":[27,47,91,124],"The":[31,108],"most":[32],"commonly":[33],"observed":[34],"are":[36],"over-":[37],"and":[38,87,102,128],"under-enhancement":[39],"images,":[42],"which":[43],"cause":[44],"significant":[45],"loss":[46],"fine":[48],"textures":[49],"in":[50,122],"images.":[51],"This":[52],"paper":[53],"developed":[54],"new":[56],"algorithm":[59],"based":[60],"an":[62,95,99],"entropy-preserving":[63],"mapping":[64],"prior":[65,86],"that":[66,112],"improves":[67],"methods.":[72],"By":[73],"creating":[74],"closed-form":[76],"solution":[77,93],"enhancing":[79],"under":[83],"this":[84],"novel":[85],"learning":[88,97],"coefficients":[90],"using":[94],"unsupervised":[96],"strategy,":[98],"image's":[100],"texture":[103],"be":[105],"effectively":[106],"recovered.":[107],"experimental":[109],"results":[110],"verify":[111],"our":[113],"proposed":[114],"method":[115],"clearly":[116],"outperforms":[117],"existing":[119],"state-of-the-art":[120],"terms":[123],"both":[125],"quantitative":[126],"estimation":[127],"qualitative":[129],"human":[130],"visual":[131],"inspection.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}