{"id":"https://openalex.org/W2871933331","doi":"https://doi.org/10.1109/meco.2018.8406077","title":"Visually aesthetic image contrast enhancement","display_name":"Visually aesthetic image contrast enhancement","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2871933331","doi":"https://doi.org/10.1109/meco.2018.8406077","mag":"2871933331"},"language":"en","primary_location":{"id":"doi:10.1109/meco.2018.8406077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2018.8406077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th Mediterranean Conference on Embedded Computing (MECO)","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/A5067023402","display_name":"Sergey Zavalishin","orcid":"https://orcid.org/0009-0006-8418-8777"},"institutions":[{"id":"https://openalex.org/I4210141363","display_name":"Samsung (Russia)","ror":"https://ror.org/051an6p98","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210141363"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Sergey S. Zavalishin","raw_affiliation_strings":["Samsung R&D Institute Rus, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute Rus, Moscow, Russia","institution_ids":["https://openalex.org/I4210141363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000964978","display_name":"Yury S. Bekhtin","orcid":"https://orcid.org/0000-0001-9963-7244"},"institutions":[{"id":"https://openalex.org/I4210141363","display_name":"Samsung (Russia)","ror":"https://ror.org/051an6p98","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210141363"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Yuri S. Bekhtin","raw_affiliation_strings":["Samsung R&D Institute Rus, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute Rus, Moscow, Russia","institution_ids":["https://openalex.org/I4210141363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067023402"],"corresponding_institution_ids":["https://openalex.org/I4210141363"],"apc_list":null,"apc_paid":null,"fwci":0.1063,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44433733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"4"},"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/T11605","display_name":"Visual Attention and Saliency Detection","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":0.9979000091552734,"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/contrast","display_name":"Contrast (vision)","score":0.8516004085540771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7539892196655273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7310555577278137},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7250944375991821},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5731990337371826},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.49379047751426697},{"id":"https://openalex.org/keywords/edge-enhancement","display_name":"Edge enhancement","score":0.48307111859321594},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4540562927722931},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44583606719970703},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"Contrast enhancement","score":0.43826720118522644},{"id":"https://openalex.org/keywords/image-contrast","display_name":"Image contrast","score":0.41222211718559265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3372257351875305},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.32705092430114746},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.17729687690734863}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.8516004085540771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7539892196655273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310555577278137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7250944375991821},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5731990337371826},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.49379047751426697},{"id":"https://openalex.org/C30108884","wikidata":"https://www.wikidata.org/wiki/Q1242761","display_name":"Edge enhancement","level":4,"score":0.48307111859321594},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4540562927722931},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44583606719970703},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.43826720118522644},{"id":"https://openalex.org/C3018302497","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Image contrast","level":2,"score":0.41222211718559265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3372257351875305},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.32705092430114746},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.17729687690734863},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco.2018.8406077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2018.8406077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W4346329","https://openalex.org/W1510835000","https://openalex.org/W1920280450","https://openalex.org/W1986793540","https://openalex.org/W2001412060","https://openalex.org/W2054814429","https://openalex.org/W2058333183","https://openalex.org/W2070168921","https://openalex.org/W2099471712","https://openalex.org/W2110411746","https://openalex.org/W2113636985","https://openalex.org/W2126043703","https://openalex.org/W2128926607","https://openalex.org/W2133059825","https://openalex.org/W2150721269","https://openalex.org/W2254462240","https://openalex.org/W2294128348","https://openalex.org/W2408359267","https://openalex.org/W2561701092","https://openalex.org/W2607202125","https://openalex.org/W2612496865","https://openalex.org/W2735208443","https://openalex.org/W2735691433","https://openalex.org/W2735974062","https://openalex.org/W2949800547","https://openalex.org/W2963156339","https://openalex.org/W2963684405","https://openalex.org/W2963722311","https://openalex.org/W2963835354","https://openalex.org/W2964013315","https://openalex.org/W3125028070","https://openalex.org/W4214695428","https://openalex.org/W4320013936","https://openalex.org/W6600185340","https://openalex.org/W6647199944","https://openalex.org/W6668149680","https://openalex.org/W6676695499","https://openalex.org/W6680096826","https://openalex.org/W6697066781"],"related_works":["https://openalex.org/W4361829738","https://openalex.org/W2005736836","https://openalex.org/W2388723382","https://openalex.org/W4243345425","https://openalex.org/W4247274988","https://openalex.org/W1847360884","https://openalex.org/W2967690725","https://openalex.org/W3031737451","https://openalex.org/W2890853391","https://openalex.org/W3009327912"],"abstract_inverted_index":{"The":[0,54,119],"existing":[1],"techniques":[2],"for":[3,125],"local":[4,39,46],"contrast":[5,12,40,47,78,108],"enhancement":[6,41,128],"are":[7],"designed":[8],"to":[9,23,75,104],"produce":[10],"maximal":[11],"across":[13],"the":[14,25,30,63,67,72,77,99,113],"whole":[15],"image.":[16],"However,":[17],"natural":[18],"photos":[19],"require":[20],"selective":[21],"improvements":[22],"emphasize":[24],"most":[26],"valuable":[27],"objects":[28,65,133],"in":[29,80,102],"scene":[31],"only.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,111],"propose":[37],"a":[38],"algorithm":[42],"that":[43,60,62],"utilizes":[44],"both":[45],"distribution":[48,79],"and":[49,83],"saliency":[50,100],"as":[51],"an":[52],"input.":[53],"proposed":[55,120],"approach":[56,121],"performs":[57],"edge-aware":[58],"processing":[59],"guarantees":[61],"distinct":[64],"get":[66],"correct":[68],"contrast.":[69],"We":[70,94],"construct":[71],"bilateral":[73],"grid":[74],"measure":[76],"edge-preserving":[81],"manner":[82],"obtain":[84],"unique":[85],"tone":[86],"reproduction":[87],"curves":[88],"(TRC)":[89],"of":[90,129,134],"downsampled":[91],"image":[92,115],"pixels.":[93],"further":[95],"tune":[96],"TRCs":[97],"using":[98],"map":[101],"order":[103],"provide":[105],"visually":[106],"aesthetic":[107,127],"improvement.":[109],"Finally,":[110],"upscale":[112],"contrasted":[114],"with":[116],"slicing":[117],"technique.":[118],"can":[122],"be":[123],"utilized":[124],"automated":[126],"images":[130],"or":[131],"emphasizing":[132],"interest.":[135]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
