{"id":"https://openalex.org/W3097595678","doi":"https://doi.org/10.1109/lsp.2020.3036312","title":"Learning Dual Transformation Networks for Image Contrast Enhancement","display_name":"Learning Dual Transformation Networks for Image Contrast Enhancement","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3097595678","doi":"https://doi.org/10.1109/lsp.2020.3036312","mag":"3097595678"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.3036312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3036312","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5102776532","display_name":"Yurui Zhu","orcid":"https://orcid.org/0000-0001-8753-6606"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yurui Zhu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079007635","display_name":"Xueyang Fu","orcid":"https://orcid.org/0000-0001-8036-4071"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyang Fu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100756739","display_name":"Aiping Liu","orcid":"https://orcid.org/0000-0001-8849-5228"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiping Liu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102776532"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.2701,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.82750218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"1999","last_page":"2003"},"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":0.9997000098228455,"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":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.784798264503479},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6886125802993774},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6885019540786743},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6874025464057922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6635284423828125},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5592994689941406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.499403715133667},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4898163974285126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.414857417345047},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41467636823654175}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.784798264503479},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6886125802993774},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6885019540786743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6874025464057922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6635284423828125},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5592994689941406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.499403715133667},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4898163974285126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.414857417345047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41467636823654175},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.3036312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3036312","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5096067916","display_name":null,"funder_award_id":"61701158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G648514136","display_name":null,"funder_award_id":"61901433","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1644173899","https://openalex.org/W1971014006","https://openalex.org/W1987444808","https://openalex.org/W1988649016","https://openalex.org/W2011260964","https://openalex.org/W2016622085","https://openalex.org/W2030009277","https://openalex.org/W2057321661","https://openalex.org/W2101981311","https://openalex.org/W2102166818","https://openalex.org/W2127757833","https://openalex.org/W2133665775","https://openalex.org/W2141704978","https://openalex.org/W2146907897","https://openalex.org/W2150461190","https://openalex.org/W2153464267","https://openalex.org/W2171349048","https://openalex.org/W2254039850","https://openalex.org/W2508457857","https://openalex.org/W2516283731","https://openalex.org/W2603658603","https://openalex.org/W2783399029","https://openalex.org/W2807563922","https://openalex.org/W2887817889","https://openalex.org/W2897662688","https://openalex.org/W2948354154","https://openalex.org/W2949187370","https://openalex.org/W2950335850","https://openalex.org/W2964101377","https://openalex.org/W2964121744","https://openalex.org/W2981718299","https://openalex.org/W2999935620","https://openalex.org/W3013338555","https://openalex.org/W3015044426","https://openalex.org/W3042993386","https://openalex.org/W3088065502","https://openalex.org/W3093427603","https://openalex.org/W3104298728","https://openalex.org/W3121661546","https://openalex.org/W4229784198","https://openalex.org/W6631190155","https://openalex.org/W6763226398"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W4285411112","https://openalex.org/W2107628111","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W2358990940","https://openalex.org/W2394004323","https://openalex.org/W2004323682","https://openalex.org/W2398764543"],"abstract_inverted_index":{"In":[0,71,89],"this":[1,26,90],"work,":[2],"we":[3,28,73],"introduce":[4],"a":[5,51,76],"dual":[6],"transformation":[7,53],"network":[8,93],"for":[9],"single":[10],"image":[11],"contrast":[12,20,121],"enhancement,":[13],"which":[14],"usually":[15],"aims":[16,48],"to":[17,33,49,55,67,80,85,119],"improve":[18,56],"global":[19,52,57,87],"and":[21,106],"enrich":[22,68],"local":[23,69],"details.":[24,70],"To":[25],"end,":[27],"propose":[29],"two":[30,37],"parallel":[31],"branches":[32],"respectively":[34],"handle":[35],"the":[36,60,86,92,127],"goals":[38],"by":[39,98],"learning":[40],"different":[41,99],"kinds":[42],"of":[43],"transformations.":[44],"Specifically,":[45],"one":[46,62],"branch":[47],"construct":[50],"curve":[54],"contrast,":[58],"while":[59],"other":[61],"directly":[63],"predicts":[64],"pixel":[65],"offsets":[66],"addition,":[72],"further":[74],"design":[75],"differentiable":[77],"histogram":[78,108],"loss":[79],"provide":[81],"supervised":[82],"information":[83],"related":[84],"contrast.":[88],"way,":[91],"training":[94],"can":[95,115],"be":[96,116],"guided":[97],"constraints,":[100],"e.g.,":[101],"pixel-level":[102],"mean":[103],"squared":[104],"error":[105],"statistics-level":[107],"error.":[109],"Experiments":[110],"demonstrate":[111],"that":[112],"our":[113],"method":[114],"effectively":[117],"applied":[118],"various":[120],"conditions":[122],"with":[123],"favorable":[124],"performance":[125],"against":[126],"state-of-the-art":[128],"methods.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}