{"id":"https://openalex.org/W4415644659","doi":"https://doi.org/10.3390/jimaging11110376","title":"Adverse-Weather Image Restoration Method Based on VMT-Net","display_name":"Adverse-Weather Image Restoration Method Based on VMT-Net","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W4415644659","doi":"https://doi.org/10.3390/jimaging11110376","pmid":"https://pubmed.ncbi.nlm.nih.gov/41295093"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11110376","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11110376","pdf_url":"https://www.mdpi.com/2313-433X/11/11/376/pdf?version=1761639354","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/11/11/376/pdf?version=1761639354","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100660724","display_name":"Zhongmin Liu","orcid":"https://orcid.org/0000-0002-6547-9847"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongmin Liu","raw_affiliation_strings":["School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China"],"raw_orcid":"https://orcid.org/0000-0002-6547-9847","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089257398","display_name":"Xuewen Yu","orcid":"https://orcid.org/0000-0003-4774-7139"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewen Yu","raw_affiliation_strings":["School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101568758","display_name":"Wenjin Hu","orcid":"https://orcid.org/0000-0002-8129-6549"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjin Hu","raw_affiliation_strings":["School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100660724"],"corresponding_institution_ids":["https://openalex.org/I22716506"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28741508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"11","first_page":"376","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.48010000586509705,"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":0.48010000586509705,"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":0.43549999594688416,"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":0.02879999950528145,"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/robustness","display_name":"Robustness (evolution)","score":0.7134000062942505},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5817999839782715},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4902999997138977},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4440000057220459},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.40700000524520874},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.38440001010894775},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3601999878883362}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7983999848365784},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7134000062942505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6069999933242798},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5817999839782715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.508899986743927},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4902999997138977},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4440000057220459},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.35100001096725464},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.33629998564720154},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.33480000495910645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.2603999972343445}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/jimaging11110376","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11110376","pdf_url":"https://www.mdpi.com/2313-433X/11/11/376/pdf?version=1761639354","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41295093","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41295093","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":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:70a6504ac1144442a5ceee43bdb20664","is_oa":true,"landing_page_url":"https://doaj.org/article/70a6504ac1144442a5ceee43bdb20664","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 11, Iss 11, p 376 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/jimaging11110376","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11110376","pdf_url":"https://www.mdpi.com/2313-433X/11/11/376/pdf?version=1761639354","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8562013255","display_name":null,"funder_award_id":"62061042","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415644659.pdf","grobid_xml":"https://content.openalex.org/works/W4415644659.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1574447377","https://openalex.org/W1971693194","https://openalex.org/W2467473805","https://openalex.org/W2748263833","https://openalex.org/W2930755307","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963800716","https://openalex.org/W2963866045","https://openalex.org/W2998249728","https://openalex.org/W3035326127","https://openalex.org/W3035713416","https://openalex.org/W3103549414","https://openalex.org/W3201952986","https://openalex.org/W3207918547","https://openalex.org/W4225672218","https://openalex.org/W4283023197","https://openalex.org/W4312880823","https://openalex.org/W4313160444","https://openalex.org/W4317496742","https://openalex.org/W4386075800","https://openalex.org/W4386076032","https://openalex.org/W4402952320","https://openalex.org/W4402961660","https://openalex.org/W4403792190","https://openalex.org/W4404876506","https://openalex.org/W4404970991","https://openalex.org/W4405138794"],"related_works":[],"abstract_inverted_index":{"To":[0],"address":[1],"global":[2,48,58],"semantic":[3,97],"loss,":[4],"local":[5,61],"detail":[6,68,171,183],"blurring,":[7],"and":[8,60,67,85,104,118,146,155,160,168,181],"spatial-semantic":[9],"conflict":[10],"during":[11,70],"image":[12,21],"restoration":[13,22,184],"under":[14,125],"adverse":[15],"weather":[16,127],"conditions,":[17],"we":[18,73,100],"propose":[19],"an":[20,75],"network":[23],"that":[24,37,81,133],"integrates":[25],"Mamba":[26,45],"with":[27,46,149],"Transformer":[28],"architectures.":[29],"We":[30],"first":[31],"design":[32],"a":[33,108],"Vision-Mamba-Transformer":[34],"(VMT)":[35],"module":[36,80],"combines":[38],"the":[39,47,54,102,140,166,177],"long-range":[40],"dependency":[41],"modeling":[42,56,117],"of":[43,51,57,114,152],"Vision":[44],"contextual":[49],"reasoning":[50],"Transformers,":[52],"facilitating":[53],"joint":[55],"structures":[59],"details,":[62],"thus":[63],"mitigating":[64],"information":[65],"loss":[66],"blurring":[69],"restoration.":[71],"Second,":[72],"introduce":[74],"Adaptive":[76],"Content":[77],"Guidance":[78],"(ACG)":[79],"employs":[82],"dynamic":[83],"gating":[84],"spatial-channel":[86],"attention":[87],"to":[88,165],"enable":[89],"effective":[90],"inter-layer":[91],"feature":[92,116],"fusion,":[93,120],"thereby":[94],"enhancing":[95],"cross-layer":[96,119],"consistency.":[98],"Finally,":[99],"embed":[101],"VMT":[103],"ACG":[105],"modules":[106],"into":[107],"U-Net":[109],"backbone,":[110],"achieving":[111],"efficient":[112],"integration":[113],"multi-scale":[115],"significantly":[121],"improving":[122],"reconstruction":[123],"quality":[124],"complex":[126],"conditions.":[128,188],"The":[129],"experimental":[130],"results":[131],"show":[132],"on":[134],"Snow100K-S/L,":[135],"VMT-Net":[136],"improves":[137],"PSNR":[138],"over":[139],"baseline":[141,167],"by":[142],"approximately":[143],"0.89":[144],"dB":[145],"0.36":[147],"dB,":[148],"SSIM":[150],"gains":[151],"about":[153],"0.91%":[154],"0.11%,":[156],"respectively.":[157],"On":[158],"Outdoor-Rain":[159],"Raindrop,":[161],"it":[162],"performs":[163],"similarly":[164],"exhibits":[169],"superior":[170],"recovery":[172],"in":[173],"real-world":[174],"scenes.":[175],"Overall,":[176],"method":[178],"demonstrates":[179],"robustness":[180],"strong":[182],"across":[185],"diverse":[186],"adverse-weather":[187]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-29T00:00:00"}
