{"id":"https://openalex.org/W2581288980","doi":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-212","title":"An adaptive contrast enhancement method for stereo endoscopic images combining binocular just noticeable difference model and depth information","display_name":"An adaptive contrast enhancement method for stereo endoscopic images combining binocular just noticeable difference model and depth information","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2581288980","doi":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-212","mag":"2581288980"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.13.iqsp-212","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-212","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5041488891","display_name":"Bilel Sdiri","orcid":"https://orcid.org/0000-0001-6323-6983"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bilel Sdiri","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010658612","display_name":"Azeddine Beghdadi","orcid":"https://orcid.org/0000-0002-5595-0615"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azeddine Beghdadi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076654527","display_name":"Faouzi Alaya Cheikh","orcid":"https://orcid.org/0000-0002-4823-5250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faouzi Alaya Cheikh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088359880","display_name":"Marius Pedersen","orcid":"https://orcid.org/0000-0001-9797-5821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marius Pedersen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5008014984","display_name":"Ole Jakob Elle","orcid":"https://orcid.org/0000-0003-2359-1272"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ole Jakob Elle","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041488891"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.002,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84040143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"28","issue":"13","first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9799000024795532,"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":0.9799000024795532,"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/computer-vision","display_name":"Computer vision","score":0.8071249127388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7667795419692993},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.6918618083000183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.650336742401123},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5814653038978577},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.5152111649513245},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4540184736251831},{"id":"https://openalex.org/keywords/binocular-disparity","display_name":"Binocular disparity","score":0.4401477575302124},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.1219540536403656},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07872775197029114}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8071249127388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7667795419692993},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.6918618083000183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650336742401123},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5814653038978577},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.5152111649513245},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4540184736251831},{"id":"https://openalex.org/C90790637","wikidata":"https://www.wikidata.org/wiki/Q11681118","display_name":"Binocular disparity","level":3,"score":0.4401477575302124},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.1219540536403656},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07872775197029114},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.13.iqsp-212","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-212","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2358310348","https://openalex.org/W2329988160","https://openalex.org/W2257095280","https://openalex.org/W2074585893","https://openalex.org/W2013778432","https://openalex.org/W2566445787","https://openalex.org/W1978189035","https://openalex.org/W2050601669","https://openalex.org/W2528149969","https://openalex.org/W2161602969"],"abstract_inverted_index":{"Endoscopic":[0],"image":[1,47,135,146],"enhancement":[2,98,140],"has":[3],"become":[4],"a":[5,52,96,138,196],"very":[6],"popular":[7],"research":[8],"field":[9],"due":[10],"to":[11,58,132],"the":[12,19,33,40,67,70,76,81,114,119,122,126,134,144,148,152,162,168,179,206],"success":[13],"of":[14,21,39,46,69,108,113,161,178],"minimally":[15],"invasive":[16],"interventions":[17],"and":[18,25,32,49,80,125,151,182,200],"innovation":[20],"new":[22],"technological":[23],"treatment":[24],"diagnosis":[26],"tools":[27],"such":[28],"as":[29,194],"stereoscopic":[30],"laparoscopes":[31],"wireless":[34],"capsule":[35],"endoscopy.":[36],"In":[37,91],"spite":[38],"important":[41],"advances":[42],"achieved":[43],"in":[44],"terms":[45],"processing":[48],"enhancement,":[50],"only":[51],"few":[53],"techniques":[54],"can":[55,63],"be":[56,64],"adapted":[57],"stereo":[59,71,101,116,172,208],"endoscopic":[60,72,82,102,173,209],"images.":[61,210],"This":[62],"explained":[65],"by":[66,137],"specificities":[68],"video":[73],"acquisition":[74],"process,":[75],"surgical":[77],"tasks":[78],"artifacts":[79],"domain":[83],"characteristics":[84],"(e.g.,":[85],"organ":[86],"textures,":[87],"edges,":[88],"color":[89],"distribution).":[90],"this":[92],"paper":[93],"we":[94],"present":[95],"contrast":[97,139],"method":[99,170],"for":[100],"images":[103,117,174],"taking":[104],"into":[105],"consideration":[106],"some":[107],"these":[109],"specificities,":[110],"namely":[111],"those":[112],"acquired":[115],"i.e.":[118],"depth":[120,149,198],"information,":[121],"binocular":[123,153],"vision":[124],"organs":[127],"boundaries/textures.":[128],"The":[129,159,191],"idea":[130],"is":[131],"enhance":[133],"quality":[136],"process":[141],"that":[142,167],"exploits":[143],"local":[145],"activity,":[147],"information":[150],"just":[154],"noticeable":[155],"difference":[156],"(BJND)":[157],"model.":[158],"results":[160],"conducted":[163],"subjective":[164],"experiment":[165],"show":[166],"proposed":[169],"produces":[171],"with":[175],"sharper":[176],"details":[177],"underlying":[180],"tissues":[181],"organs,":[183],"without":[184],"introducing":[185],"any":[186],"halo":[187],"effect":[188],"or":[189],"overshooting.":[190],"observers":[192],"reported":[193],"well":[195],"more":[197],"feeling":[199],"less":[201],"visual":[202],"fatigue":[203],"when":[204],"perceiving":[205],"enhanced":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
