{"id":"https://openalex.org/W4413677584","doi":"https://doi.org/10.1109/tnnls.2025.3598716","title":"A Bioinspired Deep Learning Framework for Saliency-Based Image Quality Assessment","display_name":"A Bioinspired Deep Learning Framework for Saliency-Based Image Quality Assessment","publication_year":2025,"publication_date":"2025-08-26","ids":{"openalex":"https://openalex.org/W4413677584","doi":"https://doi.org/10.1109/tnnls.2025.3598716","pmid":"https://pubmed.ncbi.nlm.nih.gov/40857193"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3598716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3598716","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5101612429","display_name":"Huasheng Wang","orcid":"https://orcid.org/0009-0003-9290-8445"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Huasheng Wang","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University, CF10 3AT, Cardiff, U.K"],"raw_orcid":"https://orcid.org/0009-0003-9290-8445","affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University, CF10 3AT, Cardiff, U.K","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102676626","display_name":"Yueran Ma","orcid":"https://orcid.org/0000-0002-3506-4480"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yueran Ma","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University, CF10 3AT, Cardiff, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3506-4480","affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University, CF10 3AT, Cardiff, U.K","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072487632","display_name":"Hongchen Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchen Tan","raw_affiliation_strings":["School of Future Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-6915-8736","affiliations":[{"raw_affiliation_string":"School of Future Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101909804","display_name":"Xiaochang Liu","orcid":"https://orcid.org/0009-0009-4915-2375"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochang Liu","raw_affiliation_strings":["School of Mathematics, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-4915-2375","affiliations":[{"raw_affiliation_string":"School of Mathematics, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383041","display_name":"Ying Chen","orcid":"https://orcid.org/0000-0002-1620-9904"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1620-9904","affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101605853","display_name":"Hantao Liu","orcid":"https://orcid.org/0000-0003-4544-3481"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hantao Liu","raw_affiliation_strings":["School of Future Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-4544-3481","affiliations":[{"raw_affiliation_string":"School of Future Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101612429"],"corresponding_institution_ids":["https://openalex.org/I79510175"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20018205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"12","first_page":"20024","last_page":"20034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9914000034332275,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9914000034332275,"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":0.9603999853134155,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6386939883232117},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6197746992111206},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6086630821228027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5171725153923035},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5111950039863586},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4636223614215851},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4623177647590637},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4260464012622833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34387603402137756},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16708379983901978},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.15538635849952698},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.09453856945037842}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6386939883232117},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6197746992111206},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6086630821228027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5171725153923035},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5111950039863586},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4636223614215851},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4623177647590637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4260464012622833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34387603402137756},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16708379983901978},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.15538635849952698},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.09453856945037842},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2025.3598716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3598716","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40857193","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40857193","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 neural networks and learning systems","raw_type":null},{"id":"pmh:oai:https://orca.cardiff.ac.uk:181006","is_oa":false,"landing_page_url":"https://orca.cardiff.ac.uk/view/cardiffauthors/A26012977.html>,","pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W2466958844","https://openalex.org/W2804751933","https://openalex.org/W2245293081","https://openalex.org/W1973829424"],"abstract_inverted_index":{"Advancements":[0],"in":[1,9,35,60,81,107,180],"deep":[2,61,128],"learning":[3,134,219,229],"have":[4],"led":[5],"to":[6,176,192,200],"significant":[7],"progress":[8],"no-reference":[10],"(NR)":[11],"image":[12,148,214],"quality":[13,20,149,215],"assessment":[14,150],"(NR-IQA)":[15],"for":[16,48,78,244],"evaluating":[17],"the":[18,50,55,87,96,102,108,117,165,171,177,181,185,194,208,227,232,238],"perceived":[19],"of":[21,52,58,95,104,110,122,141,170,184,220,231,240],"digital":[22],"images":[23],"without":[24],"relying":[25],"on":[26,131],"a":[27,45,75,126,132],"reference.":[28],"However,":[29],"existing":[30],"NR-IQA":[31,63],"models":[32],"remain":[33],"suboptimal":[34],"handling":[36],"complex":[37],"and":[38,119,145,155,162,167,197,213,217],"diverse":[39],"natural":[40],"images.":[41],"Visual":[42],"saliency":[43,59,80,115,157],"constitutes":[44],"critical":[46],"element":[47],"enhancing":[49],"reliability":[51],"NR-IQA,":[53,82],"but":[54],"optimal":[56],"use":[57],"learning-based":[62],"has":[64],"not":[65],"heretofore":[66],"been":[67],"significantly":[68],"explored.":[69],"In":[70],"this":[71],"article,":[72],"we":[73,124],"present":[74],"novel":[76],"method":[77],"integrating":[79],"which":[83],"is":[84],"motivated":[85],"by":[86,101],"saliency-based":[88],"visual":[89,97,182,211,223],"search":[90],"mechanism":[91],"that":[92,187,206],"different":[93],"parts":[94],"input":[98],"are":[99,159],"visited":[100],"focus":[103],"attention":[105,212],"(FOA)":[106],"order":[109],"decreasing":[111],"saliency.":[112],"By":[113],"dividing":[114],"into":[116,164],"high":[118,156,198],"low":[120,154,189],"levels":[121],"FOA,":[123],"build":[125],"bioinspired":[127],"neural":[129],"network-BioSIQNet-based":[130],"multitask":[133],"(MTL)":[135],"framework.":[136],"The":[137,153],"network":[138],"architecture":[139],"consists":[140],"two":[142],"saliency-specific":[143],"tasks":[144,224],"one":[146],"primary":[147,233],"(IQA)":[151],"task.":[152],"(HS)":[158],"separately":[160],"encoded":[161],"integrated":[163],"early":[166],"deeper":[168],"layers":[169],"IQA":[172,234],"network,":[173],"respectively,":[174],"analogous":[175],"hierarchical":[178],"processing":[179],"cortex":[183],"brain":[186],"allocates":[188],"attentional":[190],"resources":[191,199],"process":[193],"simple":[195],"patterns":[196],"learn":[201],"intricate":[202],"representations.":[203],"We":[204],"demonstrate":[205],"leveraging":[207],"synergy":[209],"between":[210],"perception":[216],"joint":[218],"these":[221],"interconnected":[222],"can":[225],"enhance":[226],"overall":[228],"capabilities":[230],"model.":[235],"Experiments":[236],"validate":[237],"effectiveness":[239],"our":[241],"proposed":[242],"BioSIQNet":[243],"NR-IQA.":[245]},"counts_by_year":[],"updated_date":"2025-12-03T23:09:05.601824","created_date":"2025-10-10T00:00:00"}
