{"id":"https://openalex.org/W4386608753","doi":"https://doi.org/10.1109/access.2023.3313946","title":"Restoring Snow-Degraded Single Images With Wavelet in Vision Transformer","display_name":"Restoring Snow-Degraded Single Images With Wavelet in Vision Transformer","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386608753","doi":"https://doi.org/10.1109/access.2023.3313946"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3313946","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3313946","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10246273.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10246273.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037091026","display_name":"Obinna Agbodike","orcid":"https://orcid.org/0000-0003-1297-952X"},"institutions":[{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Obinna Agbodike","raw_affiliation_strings":["Department of Electrical Engineering, Chang Gung University, Taoyuan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chang Gung University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I173093425"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025694490","display_name":"Jenhui Chen","orcid":"https://orcid.org/0000-0002-8372-9221"},"institutions":[{"id":"https://openalex.org/I12213908","display_name":"Ming Chi University of Technology","ror":"https://ror.org/04xgh4d03","country_code":"TW","type":"education","lineage":["https://openalex.org/I12213908"]},{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]},{"id":"https://openalex.org/I3020100970","display_name":"Chang Gung Memorial Hospital","ror":"https://ror.org/02verss31","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I3020100970"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jenhui Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan City, Taiwan","Department of Electronic Engineering, Ming Chi University of Technology, New Taipei City, Taiwan","Department of Surgery, Division of Breast Surgery and General Surgery, Chang Gung Memorial Hospital, Taoyuan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I173093425"]},{"raw_affiliation_string":"Department of Electronic Engineering, Ming Chi University of Technology, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I12213908"]},{"raw_affiliation_string":"Department of Surgery, Division of Breast Surgery and General Surgery, Chang Gung Memorial Hospital, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I3020100970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037091026"],"corresponding_institution_ids":["https://openalex.org/I173093425"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.324,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82975468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"99470","last_page":"99480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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":0.9990000128746033,"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/snow","display_name":"Snow","score":0.7963331937789917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6987389326095581},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6501774787902832},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6427047252655029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5796504616737366},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5655555725097656},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4795389175415039},{"id":"https://openalex.org/keywords/sobol-sequence","display_name":"Sobol sequence","score":0.4705422520637512},{"id":"https://openalex.org/keywords/complex-wavelet-transform","display_name":"Complex wavelet transform","score":0.4488799273967743},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4313633441925049},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37248826026916504},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2953922748565674},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.12999001145362854},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10899662971496582},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.09646877646446228}],"concepts":[{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.7963331937789917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6987389326095581},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6501774787902832},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6427047252655029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5796504616737366},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5655555725097656},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4795389175415039},{"id":"https://openalex.org/C49740808","wikidata":"https://www.wikidata.org/wiki/Q7550116","display_name":"Sobol sequence","level":3,"score":0.4705422520637512},{"id":"https://openalex.org/C2777885455","wikidata":"https://www.wikidata.org/wiki/Q5156615","display_name":"Complex wavelet transform","level":5,"score":0.4488799273967743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4313633441925049},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37248826026916504},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2953922748565674},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.12999001145362854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10899662971496582},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.09646877646446228},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3313946","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3313946","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10246273.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2204eb65b01c4678aed786e47da2d854","is_oa":true,"landing_page_url":"https://doaj.org/article/2204eb65b01c4678aed786e47da2d854","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 99470-99480 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3313946","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3313946","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10246273.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G38256101","display_name":null,"funder_award_id":"CMRPD2N0051","funder_id":"https://openalex.org/F4320323441","funder_display_name":"Chang Gung Memorial Hospital, Linkou"},{"id":"https://openalex.org/G631838975","display_name":null,"funder_award_id":"110-2221-E-182-041-MY3","funder_id":"https://openalex.org/F4320331164","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F4320322767","display_name":"Chang Gung Medical Foundation","ror":"https://ror.org/02verss31"},{"id":"https://openalex.org/F4320323441","display_name":"Chang Gung Memorial Hospital, Linkou","ror":"https://ror.org/02dnn6q67"},{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386608753.pdf","grobid_xml":"https://content.openalex.org/works/W4386608753.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W86140595","https://openalex.org/W634211087","https://openalex.org/W2051328446","https://openalex.org/W2121396509","https://openalex.org/W2132819211","https://openalex.org/W2133665775","https://openalex.org/W2161907179","https://openalex.org/W2531409750","https://openalex.org/W2617199345","https://openalex.org/W2748263833","https://openalex.org/W2899663614","https://openalex.org/W2916002206","https://openalex.org/W3035713416","https://openalex.org/W3036209635","https://openalex.org/W3043944826","https://openalex.org/W3096609285","https://openalex.org/W3103549414","https://openalex.org/W3104533206","https://openalex.org/W3156811085","https://openalex.org/W3194523157","https://openalex.org/W3201952986","https://openalex.org/W3207918547","https://openalex.org/W3215632849","https://openalex.org/W4224223704","https://openalex.org/W4297095624","https://openalex.org/W4312832682","https://openalex.org/W4312880823","https://openalex.org/W4312885563","https://openalex.org/W4312938066","https://openalex.org/W4313413129","https://openalex.org/W4319300170","https://openalex.org/W4320900798","https://openalex.org/W4327521824","https://openalex.org/W4362653529","https://openalex.org/W4372270072","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6755977528","https://openalex.org/W6790690058","https://openalex.org/W6794906783","https://openalex.org/W6799024212","https://openalex.org/W6810529214","https://openalex.org/W6839940320"],"related_works":["https://openalex.org/W4390576425","https://openalex.org/W3030915585","https://openalex.org/W2087550141","https://openalex.org/W2965112349","https://openalex.org/W4200378625","https://openalex.org/W4299431879","https://openalex.org/W2547029902","https://openalex.org/W1517207589","https://openalex.org/W2158530844","https://openalex.org/W2158757538"],"abstract_inverted_index":{"Images":[0],"corrupted":[1],"by":[2,153],"snowy":[3],"adverse":[4],"weather":[5],"can":[6],"impose":[7],"performance":[8,132,163],"impediments":[9],"to":[10,29,57,95,119,166],"critical":[11],"high-level":[12],"vision-based":[13],"applications.":[14],"Restoring":[15],"snow-degraded":[16,124],"images":[17],"is":[18,23,151,181],"vital,":[19],"but":[20],"the":[21,30,89,97,105,110,114,131,137,176],"task":[22],"ill-posed":[24],"and":[25,35,70,113,141,157,171],"very":[26],"challenging":[27],"due":[28],"veiling":[31],"effect,":[32],"stochastic":[33],"distribution,":[34],"multi-scale":[36],"characteristics":[37],"of":[38,109,123,133,147],"snow":[39,58,68],"in":[40,72,78,91,175],"a":[41],"scene.":[42],"In":[43,84,126],"this":[44,85],"regard,":[45],"many":[46],"existing":[47],"image":[48,98,167],"denoising":[49],"methods":[50,174],"are":[51],"often":[52],"less":[53],"successful":[54],"with":[55,66],"respect":[56],"removal,":[59],"being":[60],"that":[61],"they":[62],"mostly":[63],"achieve":[64,120],"success":[65],"one":[67],"dataset":[69],"underperform":[71],"others,":[73],"thus":[74],"questioning":[75],"their":[76],"robustness":[77],"tackling":[79],"real-world":[80],"complex":[81],"snowfall":[82],"scenarios.":[83],"paper,":[86],"we":[87,129],"propose":[88],"wavelet":[90,117],"transformer":[92,112],"(WiT)":[93],"network":[94,150],"address":[96],"desnow":[99,168],"inverse":[100],"problem.":[101],"Our":[102],"model":[103,135],"exploits":[104],"joint":[106],"systemic":[107],"capabilities":[108],"vision":[111],"renowned":[115],"discrete":[116],"transform":[118],"effective":[121],"restoration":[122],"images.":[125],"our":[127,134,148,154],"experiments,":[128],"evaluated":[130],"on":[136],"popular":[138],"SRRS,":[139],"SNOW100K,":[140],"CSD":[142],"datasets,":[143],"respectively.":[144],"The":[145,178],"efficacy":[146],"learning-based":[149],"proven":[152],"obtained":[155],"numeric":[156],"qualitative":[158],"result":[159],"outcomes":[160],"indicating":[161],"significant":[162],"gains":[164],"compared":[165],"benchmark":[169],"models":[170],"other":[172],"state-of-the-art":[173],"literature.":[177],"source":[179],"code":[180],"available":[182],"at":[183],"<uri":[184],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[185],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/WINS-lab/WiT</uri>":[186],".":[187]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}