{"id":"https://openalex.org/W4408025350","doi":"https://doi.org/10.1145/3708568.3708582","title":"Blind Image Quality Assessment Based on Human Visual Perception","display_name":"Blind Image Quality Assessment Based on Human Visual Perception","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4408025350","doi":"https://doi.org/10.1145/3708568.3708582"},"language":"en","primary_location":{"id":"doi:10.1145/3708568.3708582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708568.3708582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Video, Signal and Image Processing","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":null,"display_name":"Tianfeng Xia","orcid":"https://orcid.org/0009-0006-5559-5082"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianfeng Xia","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China,"],"raw_orcid":"https://orcid.org/0009-0006-5559-5082","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China,","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102518780","display_name":"Yongcan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongcan Zhao","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China,"],"raw_orcid":"https://orcid.org/0009-0006-7203-6792","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China,","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018439399","display_name":"Gangqiang Yang","orcid":"https://orcid.org/0000-0002-4829-8753"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangqiang Yang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China,"],"raw_orcid":"https://orcid.org/0000-0002-4829-8753","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China,","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114208250","display_name":"Lei Chen","orcid":"https://orcid.org/0009-0006-2242-7269"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China,"],"raw_orcid":"https://orcid.org/0009-0006-2242-7269","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China,","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27020264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9922999739646912,"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/T11666","display_name":"Color Science and Applications","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935807466506958},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6519004106521606},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5964267253875732},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5770366787910461},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5623849034309387},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5465306639671326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5179833173751831},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4466995298862457},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4423219561576843},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1678343117237091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935807466506958},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6519004106521606},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5964267253875732},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5770366787910461},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5623849034309387},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5465306639671326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5179833173751831},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4466995298862457},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4423219561576843},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1678343117237091},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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:10.1145/3708568.3708582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708568.3708582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W2102166818","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2148848374","https://openalex.org/W2150734399","https://openalex.org/W2161907179","https://openalex.org/W2168023013","https://openalex.org/W2171349048","https://openalex.org/W2318763166","https://openalex.org/W2563786098","https://openalex.org/W2618902759","https://openalex.org/W2768340063","https://openalex.org/W2905544033","https://openalex.org/W2962835968","https://openalex.org/W2963596827","https://openalex.org/W2964065910","https://openalex.org/W3100404621","https://openalex.org/W3123078562","https://openalex.org/W3126164993","https://openalex.org/W3134397751","https://openalex.org/W4210361933","https://openalex.org/W4225642699","https://openalex.org/W4312443924","https://openalex.org/W4384304013"],"related_works":["https://openalex.org/W1897960459","https://openalex.org/W2002567531","https://openalex.org/W2292083403","https://openalex.org/W180818492","https://openalex.org/W4212996970","https://openalex.org/W2033349420","https://openalex.org/W243736014","https://openalex.org/W4318185075","https://openalex.org/W2964529313","https://openalex.org/W2364766777"],"abstract_inverted_index":{"The":[0,31],"human":[1,26],"visual":[2,27],"system":[3],"(HVS)":[4],"is":[5,29,50,141],"important":[6],"for":[7,105],"guiding":[8],"the":[9,18,47,53,59,67,72,82,86,90,93,97,106,117,123,129],"blind":[10],"image":[11,37,49,54,131],"quality":[12,43,68,108],"assessment":[13],"method":[14,23],"(BIQA).":[15],"Inspired":[16],"by":[17],"free-energy":[19],"principle,":[20],"an":[21,36],"NR-IQA":[22],"that":[24,137],"simulates":[25],"perception":[28,69],"proposed.":[30],"whole":[32],"model":[33,140],"consists":[34],"of":[35],"restoration":[38,55],"network":[39,56,110],"and":[40,62,71,96,143],"a":[41],"multi-stream":[42,107],"prediction":[44,109],"network.":[45],"Firstly,":[46],"distorted":[48,91],"fed":[51],"into":[52,122],"to":[57,84,111,127],"generate":[58],"restored":[60,94],"images":[61],"discrepancy":[63,75,99],"map,":[64],"in":[65],"which":[66],"constraint":[70,77],"structural":[73],"similarity":[74],"map-based":[76],"are":[78,101,120],"both":[79],"considered":[80],"during":[81],"optimization":[83],"improve":[85],"recovery":[87],"performance.":[88],"Then,":[89],"images,":[92,95],"perceptual":[98],"maps":[100],"utilized":[102],"as":[103],"inputs":[104],"obtain":[112,128],"their":[113],"fused":[114,118],"features.":[115],"Finally,":[116],"features":[119],"input":[121],"patch-based":[124],"attention":[125],"module":[126],"final":[130],"patch":[132],"scores.":[133],"Extensive":[134],"experiments":[135],"demonstrate":[136],"our":[138],"proposed":[139],"effective":[142],"achieves":[144],"competitive":[145],"performance":[146],"when":[147],"compared":[148],"with":[149],"other":[150],"related":[151],"state-of-the-art":[152],"methods.":[153]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}