{"id":"https://openalex.org/W4409536882","doi":"https://doi.org/10.1109/icvisp64524.2024.10959384","title":"CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters","display_name":"CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters","publication_year":2024,"publication_date":"2024-12-27","ids":{"openalex":"https://openalex.org/W4409536882","doi":"https://doi.org/10.1109/icvisp64524.2024.10959384"},"language":"en","primary_location":{"id":"doi:10.1109/icvisp64524.2024.10959384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp64524.2024.10959384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5100703789","display_name":"Yinglong Wang","orcid":"https://orcid.org/0000-0002-4077-6212"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinglong Wang","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078370641","display_name":"Bin He","orcid":"https://orcid.org/0000-0001-7513-0289"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin He","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100703789"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":1.6685,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86035981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9930999875068665,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9675999879837036,"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":0.7217403650283813},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.595137357711792},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5744845271110535},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5619187355041504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4851706624031067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0838547945022583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7217403650283813},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.595137357711792},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5744845271110535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5619187355041504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4851706624031067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0838547945022583},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp64524.2024.10959384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp64524.2024.10959384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2003709967","https://openalex.org/W2113850718","https://openalex.org/W2121880036","https://openalex.org/W2128254161","https://openalex.org/W2194775991","https://openalex.org/W2256362396","https://openalex.org/W2508457857","https://openalex.org/W2519481857","https://openalex.org/W2560533888","https://openalex.org/W2779176852","https://openalex.org/W2780544323","https://openalex.org/W2866634454","https://openalex.org/W2930755307","https://openalex.org/W2963470893","https://openalex.org/W2963928582","https://openalex.org/W2964125708","https://openalex.org/W2990007814","https://openalex.org/W2998249728","https://openalex.org/W3000775737","https://openalex.org/W3034278302","https://openalex.org/W3206886340","https://openalex.org/W4205261430","https://openalex.org/W4226334005","https://openalex.org/W4246193833","https://openalex.org/W4285404926","https://openalex.org/W4312556940","https://openalex.org/W4312617404","https://openalex.org/W4312678820","https://openalex.org/W4327808545","https://openalex.org/W4385245566","https://openalex.org/W4386160491","https://openalex.org/W4387532317","https://openalex.org/W4387956063","https://openalex.org/W4388430459","https://openalex.org/W4388452252","https://openalex.org/W4389305847","https://openalex.org/W4390872931","https://openalex.org/W4393150006","https://openalex.org/W4399310886","https://openalex.org/W4399995659","https://openalex.org/W4402351638","https://openalex.org/W6726497184"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Image":[0],"dehazing":[1],"aims":[2],"to":[3,80,121],"restore":[4],"image":[5],"clarity":[6],"and":[7,14,28,131],"visual":[8],"quality":[9],"by":[10,33,71,85],"reducing":[11],"atmospheric":[12],"scattering":[13],"absorption":[15],"effects.":[16],"While":[17],"deep":[18],"learning":[19],"has":[20],"made":[21],"significant":[22],"strides":[23],"in":[24],"this":[25],"area,":[26],"more":[27,29],"methods":[30],"are":[31],"constrained":[32],"network":[34,84],"depth.":[35],"Consequently,":[36],"lots":[37],"of":[38,67,144],"approaches":[39],"have":[40],"adopted":[41],"parallel":[42],"branching":[43],"strategies.":[44],"however,":[45],"they":[46],"often":[47],"prioritize":[48],"aspects":[49],"such":[50],"as":[51],"resolution,":[52],"receptive":[53,109],"field,":[54],"or":[55],"frequency":[56],"domain":[57],"segmentation":[58],"without":[59],"dynamically":[60,86],"partitioning":[61],"branches":[62],"based":[63,90,118],"on":[64,91,128,146],"the":[65,147],"distribution":[66],"input":[68],"features.":[69],"Inspired":[70],"dynamic":[72,78],"filtering,":[73],"we":[74,100,112],"propose":[75,101],"using":[76],"cascaded":[77],"filters":[79],"create":[81],"a":[82,102,115,142],"multi-branch":[83],"generating":[87],"filter":[88],"kernels":[89],"feature":[92],"map":[93],"distribution.":[94],"To":[95],"better":[96],"handle":[97],"branch":[98],"features,":[99],"residual":[103],"multiscale":[104],"block":[105],"(RMB),":[106],"combining":[107],"different":[108],"fields.":[110],"Furthermore,":[111],"also":[113],"introduce":[114],"fusion":[116],"method":[117],"attention":[119],"mechanism":[120],"merge":[122],"features":[123],"from":[124],"adjacent":[125],"branches.":[126],"Experiments":[127],"RESIDE,":[129],"Haze4K,":[130],"O-Haze":[132],"datasets":[133],"validate":[134],"our":[135,139],"method's":[136],"effectiveness,":[137],"with":[138],"model":[140],"achieving":[141],"PSNR":[143],"43.21dB":[145],"RESIDE-Indoor":[148],"dataset.":[149],"The":[150],"code":[151],"is":[152],"available":[153],"at":[154],"https://github.com/dauing/CasDyF-Net.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
