{"id":"https://openalex.org/W2651879170","doi":"https://doi.org/10.1109/tip.2017.2717180","title":"Quality Assessment of Perceptual Crosstalk on Two-View Auto-Stereoscopic Displays","display_name":"Quality Assessment of Perceptual Crosstalk on Two-View Auto-Stereoscopic Displays","publication_year":2017,"publication_date":"2017-06-19","ids":{"openalex":"https://openalex.org/W2651879170","doi":"https://doi.org/10.1109/tip.2017.2717180","mag":"2651879170","pmid":"https://pubmed.ncbi.nlm.nih.gov/28641258"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2717180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2717180","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102916130","display_name":"Jongyoo Kim","orcid":"https://orcid.org/0000-0002-2435-9195"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jongyoo Kim","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329542","display_name":"Taewan Kim","orcid":"https://orcid.org/0000-0003-3319-7797"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taewan Kim","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320181","display_name":"Sanghoon Lee","orcid":"https://orcid.org/0000-0001-9895-5347"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghoon Lee","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075463806","display_name":"Alan C. Bovik","orcid":"https://orcid.org/0000-0001-6067-710X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan Conrad Bovik","raw_affiliation_strings":["Laboratory for Image and Video Engineering, The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Laboratory for Image and Video Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102916130"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.8192,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8211003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"26","issue":"10","first_page":"4885","last_page":"4899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9991999864578247,"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":0.9991999864578247,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9983000159263611,"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/stereoscopy","display_name":"Stereoscopy","score":0.8475550413131714},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6811263561248779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737763285636902},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6660175323486328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6492650508880615},{"id":"https://openalex.org/keywords/crosstalk","display_name":"Crosstalk","score":0.629501461982727},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5850360989570618},{"id":"https://openalex.org/keywords/binocular-disparity","display_name":"Binocular disparity","score":0.47348225116729736},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4692685008049011},{"id":"https://openalex.org/keywords/stereo-display","display_name":"Stereo display","score":0.4259503185749054},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1455329954624176},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1327264904975891},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09011712670326233},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07689517736434937}],"concepts":[{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.8475550413131714},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6811263561248779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737763285636902},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6660175323486328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6492650508880615},{"id":"https://openalex.org/C169822122","wikidata":"https://www.wikidata.org/wiki/Q230187","display_name":"Crosstalk","level":2,"score":0.629501461982727},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5850360989570618},{"id":"https://openalex.org/C90790637","wikidata":"https://www.wikidata.org/wiki/Q11681118","display_name":"Binocular disparity","level":3,"score":0.47348225116729736},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4692685008049011},{"id":"https://openalex.org/C1223959","wikidata":"https://www.wikidata.org/wiki/Q1191960","display_name":"Stereo display","level":2,"score":0.4259503185749054},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1455329954624176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1327264904975891},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09011712670326233},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07689517736434937},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2017.2717180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2717180","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:28641258","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28641258","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1079229332","display_name":null,"funder_award_id":"11S-1116656","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1624516272","display_name":null,"funder_award_id":"11S-0917175","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W781416012","https://openalex.org/W1493093959","https://openalex.org/W1973207880","https://openalex.org/W1980351698","https://openalex.org/W1989726915","https://openalex.org/W1990873664","https://openalex.org/W1991221331","https://openalex.org/W1998528601","https://openalex.org/W1998896459","https://openalex.org/W1998974609","https://openalex.org/W2007543255","https://openalex.org/W2008582518","https://openalex.org/W2017258992","https://openalex.org/W2029114128","https://openalex.org/W2033941867","https://openalex.org/W2034047389","https://openalex.org/W2044456223","https://openalex.org/W2059691152","https://openalex.org/W2063855213","https://openalex.org/W2064875844","https://openalex.org/W2067500894","https://openalex.org/W2067661172","https://openalex.org/W2072087248","https://openalex.org/W2077438726","https://openalex.org/W2078738696","https://openalex.org/W2079291344","https://openalex.org/W2081038131","https://openalex.org/W2091260665","https://openalex.org/W2092755522","https://openalex.org/W2118355896","https://openalex.org/W2129539511","https://openalex.org/W2133665775","https://openalex.org/W2144982973","https://openalex.org/W2165222134","https://openalex.org/W2167034998","https://openalex.org/W2170632605","https://openalex.org/W2171181782","https://openalex.org/W2206823058","https://openalex.org/W2472413205","https://openalex.org/W2566149141","https://openalex.org/W2737134362","https://openalex.org/W6622740944","https://openalex.org/W6652641138","https://openalex.org/W6741493709"],"related_works":["https://openalex.org/W2045934666","https://openalex.org/W2286605742","https://openalex.org/W2577177034","https://openalex.org/W2081462410","https://openalex.org/W2164051266","https://openalex.org/W2351444242","https://openalex.org/W2373143017","https://openalex.org/W2103815524","https://openalex.org/W2322721455","https://openalex.org/W2161602969"],"abstract_inverted_index":{"Crosstalk":[0,105],"is":[1,67],"one":[2],"of":[3,12,21,33,41,84,92,97,111,136],"the":[4,9,36,42,82,94,102,173],"most":[5],"severe":[6],"factors":[7,74,128],"affecting":[8],"perceived":[10,95],"quality":[11],"stereoscopic":[13],"3D":[14,114],"images.":[15],"It":[16],"arises":[17,168],"from":[18,169],"a":[19,57,89,151,157,188],"leakage":[20],"light":[22],"intensity":[23],"between":[24,172],"multiple":[25],"views,":[26],"as":[27],"in":[28,52,81,123],"auto-stereoscopic":[29,71,140],"displays.":[30,141],"Well-known":[31],"determinants":[32],"crosstalk":[34,137,211],"include":[35],"co-location":[37],"contrast":[38,130],"and":[39,44,120,131,150,175],"disparity":[40],"left":[43],"right":[45],"images,":[46],"which":[47,99,167],"have":[48],"been":[49],"dealt":[50],"with":[51,125],"prior":[53],"studies.":[54],"However,":[55],"when":[56],"natural":[58],"stereo":[59],"image":[60,115],"that":[61,161,196],"contains":[62],"complex":[63],"naturalistic":[64],"spatial":[65],"characteristics":[66],"viewed":[68],"on":[69,138],"an":[70,78,181],"display,":[72],"other":[73],"may":[75],"also":[76,179],"play":[77],"important":[79],"role":[80],"perception":[83],"crosstalk.":[85],"Here,":[86],"we":[87,100,162],"describe":[88],"new":[90,143,158],"way":[91],"predicting":[93],"severity":[96],"crosstalk,":[98],"call":[101,163],"Binocular":[103],"Perceptual":[104],"Predictor":[106],"(BPCP).":[107],"BPCP":[108,144,197],"uses":[109],"measurements":[110],"three":[112],"complementary":[113],"properties":[116],"(texture,":[117],"structural":[118,170],"duplication,":[119],"binocular":[121,152,183,189],"summation)":[122],"combination":[124],"two":[126,147],"well-known":[127],"(co-location":[129],"disparity)":[132],"to":[133,186],"make":[134],"predictions":[135],"two-view":[139],"The":[142],"model":[145,185],"includes":[146],"masking":[148,159],"algorithms":[149],"pooling":[153,190],"method.":[154],"We":[155,178],"explore":[156],"phenomenon":[160],"duplicated":[164],"structure":[165],"masking,":[166],"correlations":[171,200],"original":[174],"distorted":[176],"objects.":[177],"utilize":[180],"advanced":[182],"summation":[184],"develop":[187],"algorithm.":[191],"Our":[192],"experimental":[193],"results":[194],"indicate":[195],"achieves":[198],"high":[199],"against":[201],"subjective":[202],"test":[203],"results,":[204],"improving":[205],"upon":[206],"those":[207],"delivered":[208],"by":[209],"previous":[210],"prediction":[212],"models.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}