{"id":"https://openalex.org/W2767936113","doi":"https://doi.org/10.1109/icip.2017.8296383","title":"Full-reference stereoscopic image quality assessment accounting for binocular combination and disparity information","display_name":"Full-reference stereoscopic image quality assessment accounting for binocular combination and disparity information","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2767936113","doi":"https://doi.org/10.1109/icip.2017.8296383","mag":"2767936113"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5057529537","display_name":"Yu Fan","orcid":"https://orcid.org/0000-0001-6958-9915"},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]},{"id":"https://openalex.org/I4210165875","display_name":"NTNU Samfunnsforskning","ror":"https://ror.org/05pv30e80","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210165875"]}],"countries":["FR","NO"],"is_corresponding":false,"raw_author_name":"Yu Fan","raw_affiliation_strings":["NTNU, Faculty of Computer Science and Media Technology, Gjovik, Norway","XLIM, University of Poitiers, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTNU, Faculty of Computer Science and Media Technology, Gjovik, Norway","institution_ids":["https://openalex.org/I4210165875"]},{"raw_affiliation_string":"XLIM, University of Poitiers, France","institution_ids":["https://openalex.org/I4210093397","https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107658313","display_name":"Mohamed\u2010Chaker Larabi","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed-Chaker Larabi","raw_affiliation_strings":["XLIM, University of Poitiers, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XLIM, University of Poitiers, France","institution_ids":["https://openalex.org/I4210093397","https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076654527","display_name":"Faouzi Alaya Cheikh","orcid":"https://orcid.org/0000-0002-4823-5250"},"institutions":[{"id":"https://openalex.org/I4210165875","display_name":"NTNU Samfunnsforskning","ror":"https://ror.org/05pv30e80","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210165875"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Faouzi Alaya Cheikh","raw_affiliation_strings":["NTNU, Faculty of Computer Science and Media Technology, Gjovik, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTNU, Faculty of Computer Science and Media Technology, Gjovik, Norway","institution_ids":["https://openalex.org/I4210165875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113834159","display_name":"Christine Fern\u00e1ndez-Maloigne","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Fernandez-Maloigne","raw_affiliation_strings":["XLIM, University of Poitiers, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XLIM, University of Poitiers, France","institution_ids":["https://openalex.org/I4210093397","https://openalex.org/I32881790"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1847,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58812253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"760","last_page":"764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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":0.9907000064849854,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9750000238418579,"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/binocular-rivalry","display_name":"Binocular rivalry","score":0.8855679035186768},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.8002551794052124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7377371788024902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7304222583770752},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6618558168411255},{"id":"https://openalex.org/keywords/binocular-disparity","display_name":"Binocular disparity","score":0.6499673128128052},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6448327302932739},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.6389754414558411},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5716307163238525},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5555433034896851},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.528581440448761},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4894064962863922},{"id":"https://openalex.org/keywords/binocular-vision","display_name":"Binocular vision","score":0.46520787477493286},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4548620879650116},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.43586939573287964},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4136212468147278},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4012906849384308},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32499271631240845}],"concepts":[{"id":"https://openalex.org/C198313034","wikidata":"https://www.wikidata.org/wiki/Q864009","display_name":"Binocular rivalry","level":4,"score":0.8855679035186768},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.8002551794052124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7377371788024902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304222583770752},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6618558168411255},{"id":"https://openalex.org/C90790637","wikidata":"https://www.wikidata.org/wiki/Q11681118","display_name":"Binocular disparity","level":3,"score":0.6499673128128052},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6448327302932739},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.6389754414558411},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5716307163238525},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5555433034896851},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.528581440448761},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4894064962863922},{"id":"https://openalex.org/C121958486","wikidata":"https://www.wikidata.org/wiki/Q609543","display_name":"Binocular vision","level":2,"score":0.46520787477493286},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4548620879650116},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.43586939573287964},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4136212468147278},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4012906849384308},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32499271631240845},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W3758953","https://openalex.org/W1490100156","https://openalex.org/W1500458919","https://openalex.org/W1513661237","https://openalex.org/W1964859077","https://openalex.org/W1979235371","https://openalex.org/W1981076008","https://openalex.org/W1997494543","https://openalex.org/W2007194391","https://openalex.org/W2040617105","https://openalex.org/W2043628758","https://openalex.org/W2046119925","https://openalex.org/W2064875844","https://openalex.org/W2073812468","https://openalex.org/W2080649815","https://openalex.org/W2130427361","https://openalex.org/W2141983208","https://openalex.org/W2149630656","https://openalex.org/W2159269332","https://openalex.org/W2159814221","https://openalex.org/W2161907179","https://openalex.org/W2163224190","https://openalex.org/W2171349048","https://openalex.org/W2182295979","https://openalex.org/W2258211000","https://openalex.org/W2293889938","https://openalex.org/W2310059960","https://openalex.org/W2411634556","https://openalex.org/W2507773782","https://openalex.org/W2551604932"],"related_works":["https://openalex.org/W4379164442","https://openalex.org/W2075314066","https://openalex.org/W4236907531","https://openalex.org/W994764823","https://openalex.org/W4238197581","https://openalex.org/W3133857457","https://openalex.org/W2167173778","https://openalex.org/W2046553036","https://openalex.org/W4393809158","https://openalex.org/W2767936113"],"abstract_inverted_index":{"One":[0],"of":[1,20,54,58,72,101,111,124],"the":[2,17,21,33,56,59,62,66,70,94,98,105,109,122,126,130,140,159],"most":[3],"challenging":[4],"issues":[5],"in":[6],"stereoscopic":[7],"image":[8,75,89,128],"quality":[9,57,71,123,142],"assessment":[10],"(SIQA)":[11],"is":[12,90,118],"how":[13],"to":[14,78,107,120,138,145],"effectively":[15],"model":[16],"binocular":[18,47,112],"behavior":[19],"human":[22,85],"visual":[23,99],"system":[24],"(HVS).":[25],"The":[26,87,133],"latter":[27],"has":[28],"a":[29,42,73,80,146],"great":[30],"impact":[31],"on":[32,93,151,173],"perceptual":[34],"3D":[35,84,141,154],"quality.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"propose":[41],"SIQA":[43,166],"metric":[44,68,117],"accounting":[45],"for":[46],"combination":[48],"properties":[49],"and":[50,61,97,129,168],"disparity":[51,131],"information.":[52],"Instead":[53],"computing":[55],"left":[60],"right":[63],"views":[64],"separately,":[65],"proposed":[67,160],"predicts":[69],"cyclopean":[74,88,127],"so":[76],"as":[77],"have":[79],"good":[81],"consistency":[82],"with":[83,104],"perception.":[86],"synthesized":[91],"based":[92],"local":[95],"entropy":[96],"saliency":[100],"each":[102],"view":[103],"aim":[106],"simulate":[108],"phenomena":[110],"fusion/rivalry.":[113],"A":[114],"2D":[115],"IQA":[116,155],"employed":[119],"assess":[121],"both":[125],"map.":[132],"obtained":[134],"scores":[135],"are":[136],"used":[137],"derive":[139],"score":[143],"thanks":[144],"pooling":[147],"stage.":[148],"Experimental":[149],"results":[150],"three":[152],"public":[153],"databases":[156],"show":[157],"that":[158],"method":[161],"outperforms":[162],"many":[163],"other":[164],"state-of-the-art":[165],"methods,":[167],"achieves":[169],"high":[170],"prediction":[171],"accuracy":[172],"these":[174],"databases.":[175]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
