{"id":"https://openalex.org/W7123393706","doi":"https://doi.org/10.1016/j.imavis.2026.105896","title":"MMDehazeNet: Cross-modality attention with feature correction and multi-scale encoding for visible-infrared dehazing","display_name":"MMDehazeNet: Cross-modality attention with feature correction and multi-scale encoding for visible-infrared dehazing","publication_year":2026,"publication_date":"2026-01-13","ids":{"openalex":"https://openalex.org/W7123393706","doi":"https://doi.org/10.1016/j.imavis.2026.105896"},"language":"en","primary_location":{"id":"doi:10.1016/j.imavis.2026.105896","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.105896","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"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":"Image and Vision Computing","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/A5122963937","display_name":"Liangliang Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangliang Duan","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266520, China"],"raw_orcid":"https://orcid.org/0000-0002-7015-1133","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266520, China","institution_ids":["https://openalex.org/I143413998","https://openalex.org/I44468530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5122963937"],"corresponding_institution_ids":["https://openalex.org/I143413998","https://openalex.org/I44468530"],"apc_list":{"value":2270,"currency":"USD","value_usd":2270},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06896657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"167","issue":null,"first_page":"105896","last_page":"105896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9652000069618225,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9652000069618225,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.005100000184029341,"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":0.005100000184029341,"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/feature","display_name":"Feature (linguistics)","score":0.6478000283241272},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6273000240325928},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5393000245094299},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.511900007724762},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4178999960422516},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.40540000796318054},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.37619999051094055},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3758000135421753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8543999791145325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365999817848206},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6478000283241272},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6273000240325928},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5393000245094299},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.511900007724762},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5088000297546387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4178999960422516},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.40540000796318054},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.37619999051094055},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3758000135421753},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2987000048160553},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.26759999990463257}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.imavis.2026.105896","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.105896","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"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":"Image and Vision Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4400944113731384,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1966832848","https://openalex.org/W2028763589","https://openalex.org/W2121880036","https://openalex.org/W2133665775","https://openalex.org/W2156936307","https://openalex.org/W2256362396","https://openalex.org/W2467473805","https://openalex.org/W2607690405","https://openalex.org/W2734778698","https://openalex.org/W2752695358","https://openalex.org/W2779176852","https://openalex.org/W2798876216","https://openalex.org/W2962754725","https://openalex.org/W2962785568","https://openalex.org/W2990007814","https://openalex.org/W2997210448","https://openalex.org/W2998249728","https://openalex.org/W3034278302","https://openalex.org/W3138808092","https://openalex.org/W3160815068","https://openalex.org/W3173269149","https://openalex.org/W3194523157","https://openalex.org/W4210842488","https://openalex.org/W4214745154","https://openalex.org/W4225466252","https://openalex.org/W4225672218","https://openalex.org/W4312617404","https://openalex.org/W4312812783","https://openalex.org/W4317496742","https://openalex.org/W4327808545","https://openalex.org/W4365512295","https://openalex.org/W4379116594","https://openalex.org/W4383620881","https://openalex.org/W4385801669","https://openalex.org/W4386076209","https://openalex.org/W4387968091","https://openalex.org/W4390285150","https://openalex.org/W4390872931","https://openalex.org/W4391092744","https://openalex.org/W4393282192","https://openalex.org/W4398138244","https://openalex.org/W4399915698","https://openalex.org/W4401576066","https://openalex.org/W4402904319","https://openalex.org/W4407263548","https://openalex.org/W4407638769","https://openalex.org/W4409326045","https://openalex.org/W4409368313","https://openalex.org/W4409369928","https://openalex.org/W4412380728","https://openalex.org/W4413146172","https://openalex.org/W4413147169","https://openalex.org/W4413296132"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-01-16T23:16:36.188383","created_date":"2026-01-14T00:00:00"}
