{"id":"https://openalex.org/W2790538633","doi":"https://doi.org/10.1109/tetci.2018.2804885","title":"No-Reference Stereoscopic Image Quality Assessment Based on Image Distortion and Stereo Perceptual Information","display_name":"No-Reference Stereoscopic Image Quality Assessment Based on Image Distortion and Stereo Perceptual Information","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2790538633","doi":"https://doi.org/10.1109/tetci.2018.2804885","mag":"2790538633"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2018.2804885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2018.2804885","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5048268082","display_name":"Liquan Shen","orcid":"https://orcid.org/0000-0002-2148-6279"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liquan Shen","raw_affiliation_strings":["Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007762344","display_name":"Ruigang Fang","orcid":"https://orcid.org/0000-0003-1922-7275"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruigang Fang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville,, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville,, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819884","display_name":"Yao Yang","orcid":"https://orcid.org/0000-0002-0545-674X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yao","raw_affiliation_strings":["Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055354317","display_name":"Xianqiu Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianqiu Geng","raw_affiliation_strings":["Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001469325","display_name":"Dapeng Wu","orcid":"https://orcid.org/0000-0003-1755-0183"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dapeng Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville,, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville,, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048268082"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":1.8802,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.89544143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":"1","first_page":"59","last_page":"72"},"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":0.9873999953269958,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9509999752044678,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8183587193489075},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7510395050048828},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.7484253644943237},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.733106255531311},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5426183342933655},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5295881628990173},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5121109485626221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48189860582351685},{"id":"https://openalex.org/keywords/binocular-rivalry","display_name":"Binocular rivalry","score":0.47110632061958313},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46912360191345215},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4642627239227295},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4444621205329895},{"id":"https://openalex.org/keywords/stereo-image","display_name":"Stereo image","score":0.4405139088630676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3428456783294678},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.32198047637939453}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8183587193489075},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7510395050048828},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.7484253644943237},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.733106255531311},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5426183342933655},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5295881628990173},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5121109485626221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48189860582351685},{"id":"https://openalex.org/C198313034","wikidata":"https://www.wikidata.org/wiki/Q864009","display_name":"Binocular rivalry","level":4,"score":0.47110632061958313},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46912360191345215},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4642627239227295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4444621205329895},{"id":"https://openalex.org/C2987632653","wikidata":"https://www.wikidata.org/wiki/Q7611220","display_name":"Stereo image","level":3,"score":0.4405139088630676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3428456783294678},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.32198047637939453},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2018.2804885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2018.2804885","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3402733319","display_name":null,"funder_award_id":"61671282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5013601967","display_name":null,"funder_award_id":"61422111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6161485187","display_name":null,"funder_award_id":"U1301257","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":59,"referenced_works":["https://openalex.org/W1500458919","https://openalex.org/W1513661237","https://openalex.org/W1575548597","https://openalex.org/W1603717513","https://openalex.org/W1930650491","https://openalex.org/W1963641088","https://openalex.org/W1972491016","https://openalex.org/W1973674417","https://openalex.org/W1977355761","https://openalex.org/W1978301949","https://openalex.org/W1981076008","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W1997349748","https://openalex.org/W2004510484","https://openalex.org/W2005369724","https://openalex.org/W2006277531","https://openalex.org/W2010367658","https://openalex.org/W2025095593","https://openalex.org/W2040617105","https://openalex.org/W2068403421","https://openalex.org/W2070322626","https://openalex.org/W2073812468","https://openalex.org/W2077545036","https://openalex.org/W2079245076","https://openalex.org/W2082263238","https://openalex.org/W2087067077","https://openalex.org/W2089500640","https://openalex.org/W2090974775","https://openalex.org/W2095069472","https://openalex.org/W2099308462","https://openalex.org/W2102166818","https://openalex.org/W2106077859","https://openalex.org/W2113059272","https://openalex.org/W2133665775","https://openalex.org/W2133946027","https://openalex.org/W2138964742","https://openalex.org/W2142342155","https://openalex.org/W2142884912","https://openalex.org/W2161907179","https://openalex.org/W2183871738","https://openalex.org/W2240067561","https://openalex.org/W2293863083","https://openalex.org/W2316248200","https://openalex.org/W2474439225","https://openalex.org/W2481395713","https://openalex.org/W2519420704","https://openalex.org/W2563786098","https://openalex.org/W2565917486","https://openalex.org/W2569441317","https://openalex.org/W2594112328","https://openalex.org/W2608087100","https://openalex.org/W2735451741","https://openalex.org/W3100498948","https://openalex.org/W6647225686","https://openalex.org/W6649498680","https://openalex.org/W6667535573","https://openalex.org/W6670612847","https://openalex.org/W6672380758"],"related_works":["https://openalex.org/W4385893425","https://openalex.org/W2612760208","https://openalex.org/W2359818963","https://openalex.org/W2794447631","https://openalex.org/W2126971254","https://openalex.org/W1990112519","https://openalex.org/W3160516021","https://openalex.org/W3144467741","https://openalex.org/W2072269121","https://openalex.org/W2352647984"],"abstract_inverted_index":{"In":[0,176],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,72,102,107,117],"novel":[6],"no-reference":[7],"three-dimensional":[8],"(3-D)":[9],"image":[10,26,37,57,70,162,212],"quality":[11,213],"assessment":[12,214],"(NR-SIQA)":[13],"method,":[14],"which":[15,76],"takes":[16],"three":[17,52],"types":[18,82,157],"of":[19,36,83,135,158],"visual":[20,151],"perceptual":[21,152,189],"characteristics":[22,153],"into":[23,154],"consideration,":[24],"including":[25],"distortion,":[27,163],"depth":[28,140,164],"perception,":[29,165],"and":[30,47,96,142,166,174,204],"binocular":[31,167],"combination":[32],"perception.":[33],"The":[34],"estimation":[35],"distortion":[38,84],"is":[39,99,106,122,181],"based":[40,125],"on":[41,126,207],"the":[42,60,87,90,100,127,133,150,177,195,199],"observation":[43],"that":[44,55,194],"blurriness,":[45],"noisiness,":[46],"blockiness":[48],"are":[49,169],"considered":[50],"as":[51],"important":[53],"factors":[54],"affect":[56],"quality.":[58],"Moreover,":[59],"value":[61],"difference":[62,92],"between":[63,93],"any":[64,69],"two":[65,208],"neighboring":[66],"pixels":[67],"for":[68,110],"satisfies":[71],"generalized":[73],"Laplace":[74],"distribution,":[75],"will":[77],"be":[78],"changed":[79],"with":[80],"various":[81],"existing":[85],"in":[86],"image.":[88],"Since":[89],"major":[91],"2-D":[94],"images":[95,98],"3-D":[97,111],"depth,":[101],"disparity":[103,119,168],"search":[104,120],"algorithm":[105,121,197],"key":[108],"element":[109],"perception":[112],"assessment.":[113],"To":[114],"address":[115],"this,":[116],"robust":[118],"first":[123],"designed":[124],"Gaussian":[128],"average":[129],"SSIM,":[130],"followed":[131],"by":[132],"generation":[134],"cyclopean":[136],"image,":[137],"rivalry":[138],"map,":[139,141],"weight":[143],"map.":[144],"These":[145],"four":[146],"maps":[147,173],"have":[148],"taken":[149],"consideration.":[155],"Three":[156],"features":[159,186],"relating":[160],"to":[161,183,187],"extracted":[170],"from":[171],"these":[172,185],"stereo-pairs.":[175],"end,":[178],"machine":[179],"learning":[180],"utilized":[182],"map":[184],"human":[188],"score.":[190],"Experimental":[191],"results":[192],"show":[193],"proposed":[196],"outperforms":[198],"recent":[200],"full":[201],"reference":[202],"SIQA":[203],"NR-SIQA":[205],"metrics":[206],"publicly":[209],"available":[210],"stereoscopic":[211],"databases.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
