{"id":"https://openalex.org/W7156056204","doi":"https://doi.org/10.1016/j.displa.2026.103489","title":"A dual-stream network with attention-guided feature fusion for blind super-resolution image quality assessment","display_name":"A dual-stream network with attention-guided feature fusion for blind super-resolution image quality assessment","publication_year":2026,"publication_date":"2026-04-27","ids":{"openalex":"https://openalex.org/W7156056204","doi":"https://doi.org/10.1016/j.displa.2026.103489"},"language":"en","primary_location":{"id":"doi:10.1016/j.displa.2026.103489","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.displa.2026.103489","pdf_url":null,"source":{"id":"https://openalex.org/S191329154","display_name":"Displays","issn_l":"0141-9382","issn":["0141-9382","1872-7387"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Displays","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/A5134738272","display_name":"Lei Shu","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shu","raw_affiliation_strings":["College of Virtual Reality (VR) Modern Industry, Jiangxi University of Finance and Economics, Nanchang, 330013, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Virtual Reality (VR) Modern Industry, Jiangxi University of Finance and Economics, Nanchang, 330013, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134674719","display_name":"Yujie He","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yujie He","raw_affiliation_strings":["College of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, 330032, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, 330032, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5134674719"],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49611454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"94","issue":null,"first_page":"103489","last_page":"103489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.728600025177002,"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":0.728600025177002,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.14820000529289246,"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":0.05079999938607216,"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/image-fusion","display_name":"Image fusion","score":0.5221999883651733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5058000087738037},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.503000020980835},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4945000112056732},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4864000082015991},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4814000129699707}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.820900022983551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113000154495239},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6931999921798706},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5221999883651733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5058000087738037},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.503000020980835},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4945000112056732},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4864000082015991},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4814000129699707},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30820000171661377}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.displa.2026.103489","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.displa.2026.103489","pdf_url":null,"source":{"id":"https://openalex.org/S191329154","display_name":"Displays","issn_l":"0141-9382","issn":["0141-9382","1872-7387"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Displays","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2051596736","https://openalex.org/W2073623229","https://openalex.org/W2148848374","https://openalex.org/W2162692770","https://openalex.org/W2294857031","https://openalex.org/W2565312867","https://openalex.org/W2588196171","https://openalex.org/W2743390484","https://openalex.org/W2790019979","https://openalex.org/W2905544033","https://openalex.org/W2912610845","https://openalex.org/W2915309788","https://openalex.org/W2918431349","https://openalex.org/W2997019934","https://openalex.org/W2999031978","https://openalex.org/W3000351820","https://openalex.org/W3002992380","https://openalex.org/W3009807216","https://openalex.org/W3014447010","https://openalex.org/W3022710784","https://openalex.org/W3034552520","https://openalex.org/W3035719652","https://openalex.org/W3046342662","https://openalex.org/W3206086363","https://openalex.org/W3212456028","https://openalex.org/W4214862086","https://openalex.org/W4224852017","https://openalex.org/W4312599246","https://openalex.org/W4372349815","https://openalex.org/W4376256651","https://openalex.org/W4383621014","https://openalex.org/W4385743404","https://openalex.org/W4386221259","https://openalex.org/W4389934519","https://openalex.org/W4392405858","https://openalex.org/W4399877026","https://openalex.org/W4402979757","https://openalex.org/W4403112079","https://openalex.org/W4404036761","https://openalex.org/W4405029404","https://openalex.org/W4406266148","https://openalex.org/W4408355266","https://openalex.org/W4408707933","https://openalex.org/W4410583072","https://openalex.org/W4410890545","https://openalex.org/W4411399840","https://openalex.org/W4413951436"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2026-04-28T00:00:00"}
