{"id":"https://openalex.org/W4296035682","doi":"https://doi.org/10.1109/tip.2022.3205770","title":"No-Reference Image Quality Assessment by Hallucinating Pristine Features","display_name":"No-Reference Image Quality Assessment by Hallucinating Pristine Features","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4296035682","doi":"https://doi.org/10.1109/tip.2022.3205770","pmid":"https://pubmed.ncbi.nlm.nih.gov/36112560"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3205770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3205770","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/A5063776325","display_name":"Baoliang Chen","orcid":"https://orcid.org/0000-0003-4884-6956"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Baoliang Chen","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-4884-6956","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045637729","display_name":"Lingyu Zhu","orcid":"https://orcid.org/0000-0001-7608-7913"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lingyu Zhu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7608-7913","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058765046","display_name":"Chenqi Kong","orcid":"https://orcid.org/0000-0002-3958-6489"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chenqi Kong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3958-6489","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029804107","display_name":"Hanwei Zhu","orcid":"https://orcid.org/0000-0002-0894-0561"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hanwei Zhu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3583-959X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380625","display_name":"Zhu Li","orcid":"https://orcid.org/0000-0002-8246-177X"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu Li","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Missouri&#x2013;Kansas City, Kansas City, MO, USA"],"raw_orcid":"https://orcid.org/0000-0002-8246-177X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Missouri&#x2013;Kansas City, Kansas City, MO, USA","institution_ids":["https://openalex.org/I75421653"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063776325"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":2.946,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.92464228,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"6139","last_page":"6151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9925000071525574,"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":0.980400025844574,"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/hallucinating","display_name":"Hallucinating","score":0.8509494662284851},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7534712553024292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7205420732498169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7103807330131531},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6270749568939209},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5948647856712341},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5595833659172058},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5585856437683105},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5329578518867493},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.5299573540687561},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4818202555179596},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4767944812774658},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4716845154762268},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4121936857700348},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41198620200157166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3359626531600952},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15886825323104858}],"concepts":[{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.8509494662284851},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7534712553024292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205420732498169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7103807330131531},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6270749568939209},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5948647856712341},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5595833659172058},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5585856437683105},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5329578518867493},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.5299573540687561},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4818202555179596},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4767944812774658},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4716845154762268},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4121936857700348},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41198620200157166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3359626531600952},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15886825323104858},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3205770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3205770","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:36112560","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36112560","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G3540569709","display_name":null,"funder_award_id":"2021Szvup128","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G6964584101","display_name":null,"funder_award_id":"62022002","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"},{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":107,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1561538450","https://openalex.org/W1580389772","https://openalex.org/W1583912456","https://openalex.org/W1924770834","https://openalex.org/W1974013408","https://openalex.org/W1977246677","https://openalex.org/W1977725648","https://openalex.org/W1981572319","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W1997974943","https://openalex.org/W2015196405","https://openalex.org/W2046119925","https://openalex.org/W2051596736","https://openalex.org/W2063360098","https://openalex.org/W2073623229","https://openalex.org/W2096733369","https://openalex.org/W2102166818","https://openalex.org/W2129644086","https://openalex.org/W2133251102","https://openalex.org/W2133665775","https://openalex.org/W2147008239","https://openalex.org/W2148764920","https://openalex.org/W2158546915","https://openalex.org/W2161907179","https://openalex.org/W2162692770","https://openalex.org/W2162915697","https://openalex.org/W2163370434","https://openalex.org/W2168078737","https://openalex.org/W2170947705","https://openalex.org/W2171349048","https://openalex.org/W2187089797","https://openalex.org/W2286686646","https://openalex.org/W2294857031","https://openalex.org/W2300642894","https://openalex.org/W2321533354","https://openalex.org/W2404848313","https://openalex.org/W2473697052","https://openalex.org/W2563786098","https://openalex.org/W2566149141","https://openalex.org/W2576477859","https://openalex.org/W2604219108","https://openalex.org/W2613155248","https://openalex.org/W2615207113","https://openalex.org/W2618902759","https://openalex.org/W2620998106","https://openalex.org/W2621054742","https://openalex.org/W2737134362","https://openalex.org/W2768340063","https://openalex.org/W2773173150","https://openalex.org/W2777280533","https://openalex.org/W2782579108","https://openalex.org/W2798844427","https://openalex.org/W2807793257","https://openalex.org/W2891156870","https://openalex.org/W2905369969","https://openalex.org/W2905544033","https://openalex.org/W2913802273","https://openalex.org/W2915309788","https://openalex.org/W2918431349","https://openalex.org/W2953590133","https://openalex.org/W2963216120","https://openalex.org/W2963918210","https://openalex.org/W2963975576","https://openalex.org/W2964065910","https://openalex.org/W2964171031","https://openalex.org/W2971230840","https://openalex.org/W3006233221","https://openalex.org/W3023371261","https://openalex.org/W3030380536","https://openalex.org/W3034452374","https://openalex.org/W3035719652","https://openalex.org/W3036239693","https://openalex.org/W3037569168","https://openalex.org/W3047945973","https://openalex.org/W3082029026","https://openalex.org/W3087404290","https://openalex.org/W3093270589","https://openalex.org/W3097742903","https://openalex.org/W3098735226","https://openalex.org/W3102733987","https://openalex.org/W3102939503","https://openalex.org/W3104772192","https://openalex.org/W3105164497","https://openalex.org/W3107259129","https://openalex.org/W3109970746","https://openalex.org/W3123489609","https://openalex.org/W3135142474","https://openalex.org/W3135479537","https://openalex.org/W3165044721","https://openalex.org/W3185555505","https://openalex.org/W3214007456","https://openalex.org/W4289694518","https://openalex.org/W4293481812","https://openalex.org/W4297798428","https://openalex.org/W4300789402","https://openalex.org/W6631190155","https://openalex.org/W6635084905","https://openalex.org/W6640212811","https://openalex.org/W6714644935","https://openalex.org/W6729383884","https://openalex.org/W6738053802","https://openalex.org/W6753758835","https://openalex.org/W6766978945","https://openalex.org/W6790916345","https://openalex.org/W6791380703"],"related_works":["https://openalex.org/W3194862240","https://openalex.org/W2526960468","https://openalex.org/W2782916784","https://openalex.org/W4206325381","https://openalex.org/W2295706819","https://openalex.org/W2043597472","https://openalex.org/W4226186675","https://openalex.org/W54224318","https://openalex.org/W2552902349","https://openalex.org/W2104070163"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,70,96],"no-reference":[6],"(NR)":[7],"image":[8,46,98],"quality":[9,21,100,115],"assessment":[10,22],"(IQA)":[11],"method":[12,133,160],"via":[13],"feature":[14,103],"level":[15,104],"pseudo-reference":[16],"(PR)":[17],"hallucination.":[18],"The":[19,128,156],"proposed":[20,132],"framework":[23],"is":[24,106,134,161],"rooted":[25],"in":[26,51],"the":[27,30,40,44,56,60,64,75,79,82,92,102,119,122,149],"view":[28],"that":[29],"perceptually":[31],"meaningful":[32],"features":[33,62,87,125],"could":[34],"be":[35],"well":[36],"exploited":[37,50],"to":[38,54,118],"characterize":[39],"visual":[41],"quality,":[42],"and":[43,81,121,141],"natural":[45],"statistical":[47],"behaviors":[48],"are":[49,67,88],"an":[52,109],"effort":[53],"deliver":[55],"accurate":[57],"predictions.":[58],"Herein,":[59],"PR":[61,86,120],"from":[63],"distorted":[65,97],"images":[66],"learned":[68],"by":[69],"mutual":[71],"learning":[72],"scheme":[73],"with":[74,91,108],"pristine":[76],"reference":[77],"as":[78],"supervision,":[80],"discriminative":[83],"characteristics":[84],"of":[85,130,153,158],"further":[89],"ensured":[90],"triplet":[93],"constraints.":[94],"Given":[95],"for":[99,113,126],"inference,":[101],"disentanglement":[105],"performed":[107],"invertible":[110],"neural":[111],"layer":[112],"final":[114],"prediction,":[116],"leading":[117],"corresponding":[123],"distortion":[124],"comparison.":[127],"effectiveness":[129],"our":[131,154,159],"demonstrated":[135],"on":[136,144,164],"four":[137],"popular":[138],"IQA":[139],"databases,":[140],"superior":[142],"performance":[143],"cross-database":[145],"evaluation":[146],"also":[147],"reveals":[148],"high":[150],"generalization":[151],"capability":[152],"method.":[155],"implementation":[157],"publicly":[162],"available":[163],"https://github.com/Baoliang93/FPR.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
