{"id":"https://openalex.org/W3091314591","doi":"https://doi.org/10.1109/icip40778.2020.9190848","title":"Multi-Scale Features Joint Rain Removal For Single Image","display_name":"Multi-Scale Features Joint Rain Removal For Single Image","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3091314591","doi":"https://doi.org/10.1109/icip40778.2020.9190848","mag":"3091314591"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9190848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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":"https://openalex.org/A5041886694","display_name":"Xinwei Xue","orcid":"https://orcid.org/0000-0003-0082-3034"},"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":true,"raw_author_name":"Xinwei Xue","raw_affiliation_strings":["DUT-RU International School of Information Science & Engineering, Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"DUT-RU International School of Information Science & Engineering, Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066613287","display_name":"Zhenhua Hao","orcid":"https://orcid.org/0000-0002-5760-5065"},"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":"Zhenhua Hao","raw_affiliation_strings":["DUT-RU International School of Information Science & Engineering, Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"DUT-RU International School of Information Science & Engineering, Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101894055","display_name":"Ying Ding","orcid":"https://orcid.org/0000-0002-8988-859X"},"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":"Ying Ding","raw_affiliation_strings":["DUT-RU International School of Information Science & Engineering, Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"DUT-RU International School of Information Science & Engineering, Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101812176","display_name":"Qi Jia","orcid":"https://orcid.org/0000-0001-5383-0065"},"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":"Qi Jia","raw_affiliation_strings":["DUT-RU International School of Information Science & Engineering, Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"DUT-RU International School of Information Science & Engineering, Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042370642","display_name":"Risheng Liu","orcid":"https://orcid.org/0000-0002-9554-0565"},"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":"Risheng Liu","raw_affiliation_strings":["DUT-RU International School of Information Science & Engineering, Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"DUT-RU International School of Information Science & Engineering, Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041886694"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.50230221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"21","issue":null,"first_page":"933","last_page":"937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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":0.9977999925613403,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9876000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8006711602210999},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7607714533805847},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6733267903327942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6688063144683838},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6502113342285156},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6287858486175537},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6206763982772827},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5674355030059814},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5345688462257385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5124662518501282},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49615487456321716},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3368193805217743},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14016878604888916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11153009533882141},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09038844704627991},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06004932522773743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8006711602210999},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7607714533805847},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6733267903327942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6688063144683838},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6502113342285156},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6287858486175537},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6206763982772827},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5674355030059814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5345688462257385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5124662518501282},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49615487456321716},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3368193805217743},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14016878604888916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11153009533882141},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09038844704627991},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06004932522773743},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9190848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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":22,"referenced_works":["https://openalex.org/W2113569611","https://openalex.org/W2114770744","https://openalex.org/W2121396509","https://openalex.org/W2133665775","https://openalex.org/W2154621477","https://openalex.org/W2209874411","https://openalex.org/W2256362396","https://openalex.org/W2466666260","https://openalex.org/W2559264300","https://openalex.org/W2737207197","https://openalex.org/W2739097844","https://openalex.org/W2740982616","https://openalex.org/W2753548330","https://openalex.org/W2777170053","https://openalex.org/W2798744505","https://openalex.org/W2963017889","https://openalex.org/W2963446712","https://openalex.org/W2963928582","https://openalex.org/W2964267765","https://openalex.org/W2964331331","https://openalex.org/W6741559387","https://openalex.org/W6747017484"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2888483922"],"abstract_inverted_index":{"The":[0,154],"presence":[1],"of":[2,9,33,41,132],"rain":[3,17,63,130],"and":[4,20,142],"haze":[5,19],"often":[6,58],"cause":[7],"degradation":[8],"images.":[10],"Therefore,":[11,68],"it":[12,56],"is":[13,57,157],"important":[14],"to":[15,29,60,77,96,140,160],"remove":[16,61],"or":[18],"recover":[21],"the":[22,30,34,38,50],"background":[23],"in":[24,116],"outdoor":[25],"vision":[26],"systems.":[27],"Due":[28],"limited":[31],"size":[32],"network":[35,75],"acceptance":[36],"domain,":[37],"pixel":[39],"value":[40],"each":[42],"spatial":[43],"position":[44],"can":[45,127],"only":[46],"be":[47],"inferred":[48],"from":[49],"surrounding":[51],"small":[52],"local":[53],"area;":[54],"thus,":[55],"difficult":[59],"long":[62],"streaks":[64,131],"using":[65,123],"existing":[66,149],"methods.":[67],"we":[69,83,126,136],"propose":[70],"a":[71,85],"feature":[72,87,108,117],"joint":[73,118],"dense":[74,119],"(FJDN)":[76],"extract":[78,97],"multi-scale":[79,98,101,114,124],"aggregation":[80],"features.":[81,99],"First,":[82],"design":[84],"multiscale":[86],"extraction":[88],"module":[89],"that":[90],"uses":[91],"four":[92],"dilated":[93],"convolutional":[94],"layers":[95],"These":[100],"features":[102,115],"are":[103],"then":[104],"combined":[105],"into":[106],"one":[107],"map.":[109],"We":[110],"also":[111,158],"aggregate":[112],"three":[113],"block":[120],"(FJDB).":[121],"By":[122],"features,":[125],"effectively":[128],"detect":[129],"different":[133],"lengths.":[134],"Finally,":[135],"perform":[137],"multiple":[138],"experiments":[139],"visually":[141],"quantitatively":[143],"compare":[144],"our":[145],"method":[146,156],"with":[147],"several":[148],"methods,":[150],"demonstrating":[151],"its":[152],"superiority.":[153],"proposed":[155],"applied":[159],"image":[161],"dehazing.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
