{"id":"https://openalex.org/W4408354630","doi":"https://doi.org/10.1109/icassp49660.2025.10889261","title":"A Fast Saturation Based Dehazing Framework with Accelerated Convolution and Attention Block","display_name":"A Fast Saturation Based Dehazing Framework with Accelerated Convolution and Attention Block","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354630","doi":"https://doi.org/10.1109/icassp49660.2025.10889261"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5056873506","display_name":"Shuocheng Wang","orcid":"https://orcid.org/0000-0002-2362-3003"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuocheng Wang","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440966","display_name":"Jiaming Liu","orcid":"https://orcid.org/0000-0001-9629-9788"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaming Liu","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101319166","display_name":"Yilian Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilian Zhong","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101233722","display_name":"Ruoxi Zhu","orcid":"https://orcid.org/0009-0004-2017-6705"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoxi Zhu","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093528311","display_name":"Jiazheng Lian","orcid":"https://orcid.org/0009-0000-3960-6438"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiazheng Lian","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113990871","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0002-0026-9283"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085004179","display_name":"Yibo Fan","orcid":"https://orcid.org/0000-0003-2523-8261"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Fan","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5056873506"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":2.6209,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8828318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9937000274658203,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.7119901180267334},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7098051309585571},{"id":"https://openalex.org/keywords/saturation","display_name":"Saturation (graph theory)","score":0.6535517573356628},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6409392356872559},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3777834177017212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25594019889831543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11450368165969849},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.05976566672325134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7119901180267334},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7098051309585571},{"id":"https://openalex.org/C9930424","wikidata":"https://www.wikidata.org/wiki/Q7426587","display_name":"Saturation (graph theory)","level":2,"score":0.6535517573356628},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6409392356872559},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3777834177017212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25594019889831543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11450368165969849},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.05976566672325134},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W2121880036","https://openalex.org/W2126926806","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2256362396","https://openalex.org/W2752782242","https://openalex.org/W2779176852","https://openalex.org/W2884585870","https://openalex.org/W2962785568","https://openalex.org/W2963185411","https://openalex.org/W2963928582","https://openalex.org/W2981590559","https://openalex.org/W3002421716","https://openalex.org/W3133769291","https://openalex.org/W3180034634","https://openalex.org/W3204515269","https://openalex.org/W4285605794","https://openalex.org/W4386047745","https://openalex.org/W4386472811","https://openalex.org/W4392903224","https://openalex.org/W4394939007","https://openalex.org/W6874943832"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Real-time":[0],"image":[1],"dehazmg":[2],"is":[3,84],"crucial":[4],"for":[5,158],"applications":[6],"such":[7],"as":[8],"autonomous":[9],"driving,":[10],"surveillance,":[11],"and":[12,40,86,116,132],"remote":[13],"sensing,":[14],"where":[15],"haze":[16],"can":[17],"significantly":[18,128],"reduce":[19],"visibility.":[20],"However,":[21],"many":[22],"deep":[23],"learning":[24],"algorithms":[25],"are":[26],"hindered":[27],"by":[28,106],"large":[29],"model":[30],"sizes,":[31],"making":[32],"real-time":[33,159],"processing":[34],"difficult":[35],"to":[36,52],"achieve.":[37],"Several":[38],"fast":[39,63,146],"lightweight":[41],"dehazing":[42,64,152],"networks":[43],"rely":[44],"on":[45],"estimating":[46],"K(x),":[47],"but":[48,149],"they":[49],"often":[50],"fail":[51],"deliver":[53],"satisfying":[54],"performance.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59,96],"present":[60],"a":[61,73,118,145,155],"novel":[62],"framework":[65],"built":[66],"upon":[67],"the":[68,91,99,113,134],"saturation-based":[69],"algorithm.":[70],"We":[71],"design":[72],"new":[74],"convolution":[75],"module":[76],"called":[77],"Feature":[78],"Extraction":[79],"Partial":[80],"Convolution":[81],"(FEPC),":[82],"which":[83],"faster":[85],"achieves":[87],"better":[88],"performance":[89],"than":[90],"vanilla":[92],"3\u00d73":[93],"convolution.":[94],"Additionally,":[95],"fully":[97],"leverage":[98],"information":[100],"redundancy":[101],"between":[102],"feature":[103],"map":[104],"channels":[105],"dividing":[107],"it":[108],"into":[109],"two":[110],"parts":[111],"along":[112],"channel":[114,126],"dimension":[115],"designing":[117],"Self-Cross":[119],"Attention":[120],"Block":[121],"(SCAB).":[122],"The":[123],"reduction":[124],"in":[125],"count":[127],"reduces":[129],"computational":[130],"load":[131],"improves":[133],"framework\u2019s":[135],"speed.":[136],"Through":[137],"extensive":[138],"experiments,":[139],"our":[140],"method":[141],"demonstrates":[142],"not":[143],"only":[144],"inference":[147],"speed":[148],"also":[150],"superior":[151],"performance,":[153],"providing":[154],"promising":[156],"solution":[157],"practical":[160],"deployment.":[161],"Our":[162],"code":[163],"will":[164],"be":[165],"available":[166],"at":[167],"https://github.coni/superwscZFSB-Dehazing-Framework.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
