{"id":"https://openalex.org/W4402990225","doi":"https://doi.org/10.3390/s24196330","title":"Degradation Type-Aware Image Restoration for Effective Object Detection in Adverse Weather","display_name":"Degradation Type-Aware Image Restoration for Effective Object Detection in Adverse Weather","publication_year":2024,"publication_date":"2024-09-30","ids":{"openalex":"https://openalex.org/W4402990225","doi":"https://doi.org/10.3390/s24196330","pmid":"https://pubmed.ncbi.nlm.nih.gov/39409370"},"language":"en","primary_location":{"id":"doi:10.3390/s24196330","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24196330","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s24196330","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107665037","display_name":"Xiaochen Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochen Huang","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China"],"raw_orcid":"https://orcid.org/0009-0000-2052-0327","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333217","display_name":"Xiaofeng Wang","orcid":"https://orcid.org/0000-0001-8212-6931"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Wang","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039718733","display_name":"Qizhi Teng","orcid":"https://orcid.org/0000-0002-5462-683X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qizhi Teng","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":"https://orcid.org/0000-0002-5462-683X","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100963604","display_name":"Xiaohai He","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohai He","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021067690","display_name":"Honggang Chen","orcid":"https://orcid.org/0000-0001-6200-5147"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honggang Chen","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","Yunnan Key Laboratory of Software Engineering, Yunnan University, Kunming 650600, China"],"raw_orcid":"https://orcid.org/0000-0001-6200-5147","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Yunnan Key Laboratory of Software Engineering, Yunnan University, Kunming 650600, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.6449,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84576467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"24","issue":"19","first_page":"6330","last_page":"6330"},"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/T10036","display_name":"Advanced Neural Network Applications","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":0.9879000186920166,"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/computer-science","display_name":"Computer science","score":0.7024975419044495},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.6717225313186646},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6618874073028564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5390843749046326},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.534125804901123},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4515943229198456},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4281327724456787},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3416631519794464},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29786911606788635},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29031652212142944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7024975419044495},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.6717225313186646},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6618874073028564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5390843749046326},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.534125804901123},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4515943229198456},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4281327724456787},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3416631519794464},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29786911606788635},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29031652212142944},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24196330","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24196330","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:39409370","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39409370","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11478636","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11478636","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f803fe6b1ae245cfac2668d238760717","is_oa":false,"landing_page_url":"https://doaj.org/article/f803fe6b1ae245cfac2668d238760717","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 19, p 6330 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24196330","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24196330","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1228995279","display_name":null,"funder_award_id":"2024YFHZ0212","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1369516153","display_name":null,"funder_award_id":"2023SE206","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G280767030","display_name":null,"funder_award_id":"TJUT-CVS20220001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3740411353","display_name":null,"funder_award_id":"2022CDSN-15-SCU","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4118848642","display_name":null,"funder_award_id":"SCU2023D062","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1990592195","https://openalex.org/W2031489346","https://openalex.org/W2102605133","https://openalex.org/W2128053425","https://openalex.org/W2193145675","https://openalex.org/W2565639579","https://openalex.org/W2748021867","https://openalex.org/W2779176852","https://openalex.org/W2912435603","https://openalex.org/W2913360047","https://openalex.org/W2955889502","https://openalex.org/W2962721361","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2963928582","https://openalex.org/W2964115968","https://openalex.org/W2964277612","https://openalex.org/W2968762770","https://openalex.org/W2998249728","https://openalex.org/W3009058813","https://openalex.org/W3034752215","https://openalex.org/W3101872003","https://openalex.org/W3106250896","https://openalex.org/W3107867277","https://openalex.org/W3109202794","https://openalex.org/W3119525307","https://openalex.org/W3121281282","https://openalex.org/W3173269149","https://openalex.org/W3173770079","https://openalex.org/W3186182384","https://openalex.org/W3193979638","https://openalex.org/W3201952986","https://openalex.org/W3202277637","https://openalex.org/W4213072039","https://openalex.org/W4226042837","https://openalex.org/W4285295475","https://openalex.org/W4312373367","https://openalex.org/W4312880823","https://openalex.org/W4318049991","https://openalex.org/W4319265540","https://openalex.org/W4319300947","https://openalex.org/W4328029475","https://openalex.org/W4362653529","https://openalex.org/W4365454413","https://openalex.org/W4377191959","https://openalex.org/W4381733084","https://openalex.org/W4383904755","https://openalex.org/W4385839827","https://openalex.org/W4386939303","https://openalex.org/W4387967419","https://openalex.org/W4390175122","https://openalex.org/W4392584542","https://openalex.org/W4392921398","https://openalex.org/W4398141901","https://openalex.org/W4398197560","https://openalex.org/W4399300294","https://openalex.org/W4400039976","https://openalex.org/W4400618237","https://openalex.org/W4401567518","https://openalex.org/W6620707391","https://openalex.org/W6647720530","https://openalex.org/W6761108903","https://openalex.org/W6774670249","https://openalex.org/W6843286308","https://openalex.org/W6852405796"],"related_works":["https://openalex.org/W2534928293","https://openalex.org/W2150099345","https://openalex.org/W2160318243","https://openalex.org/W2357322570","https://openalex.org/W4386158998","https://openalex.org/W2974904990","https://openalex.org/W2365681766","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W2393963626"],"abstract_inverted_index":{"Despite":[0],"significant":[1],"advancements":[2],"in":[3,135,190],"CNN-based":[4],"object":[5,30,73,81,91,218],"detection":[6,23,31,33,74,82,92,201,219],"technology,":[7],"adverse":[8,28],"weather":[9,29,59,120,166,230],"conditions":[10,167],"can":[11,184],"disrupt":[12],"imaging":[13],"sensors'":[14],"ability":[15],"to":[16,55,57,138,164,171,188,194],"capture":[17],"clear":[18],"images,":[19],"thereby":[20],"adversely":[21],"impacting":[22],"accuracy.":[24],"Mainstream":[25],"algorithms":[26],"for":[27,47],"enhance":[32],"performance":[34,198],"through":[35],"image":[36,97],"restoration":[37,98,147],"methods.":[38],"Nevertheless,":[39],"the":[40,108,114,129,140,146,150,153,161,179,182,191,196,200,228],"majority":[41],"of":[42,199,225],"these":[43],"approaches":[44],"are":[45],"designed":[46],"a":[48,69,85,94,102,118],"specific":[49],"degradation":[50,70,95,103,130,156],"scenario,":[51],"making":[52],"it":[53,170],"difficult":[54],"adapt":[56],"diverse":[58,165],"conditions.":[60],"To":[61],"cope":[62],"with":[63,84],"this":[64],"issue,":[65],"we":[66,111],"put":[67],"forward":[68],"type-aware":[71],"restoration-assisted":[72],"network,":[75],"dubbed":[76],"DTRDNet.":[77],"It":[78],"contains":[79],"an":[80,222],"network":[83],"shared":[86],"feature":[87],"encoder":[88],"(SFE)":[89],"and":[90,101,125,145,168,181,209],"decoder,":[93],"discrimination":[96],"decoder":[99],"(DDIR),":[100],"category":[104,157],"predictor":[105],"(DCP).":[106],"In":[107],"training":[109],"phase,":[110],"jointly":[112],"optimize":[113],"whole":[115],"framework":[116],"on":[117,205],"mixed":[119],"dataset,":[121],"including":[122],"degraded":[123],"images":[124,144,211],"clean":[126,143],"images.":[127],"Specifically,":[128],"type":[131],"information":[132,175],"is":[133],"incorporated":[134],"our":[136,214],"DDIR":[137,183],"avoid":[139],"interaction":[141],"between":[142],"module.":[148],"Furthermore,":[149],"DCP":[151,180],"makes":[152],"SFE":[154],"possess":[155],"awareness":[158],"ability,":[159],"enhancing":[160],"detector's":[162],"adaptability":[163],"enabling":[169],"furnish":[172],"requisite":[173],"environmental":[174],"as":[176],"required.":[177],"Both":[178],"be":[185],"removed":[186],"according":[187],"requirement":[189],"inference":[192],"stage":[193],"retain":[195],"real-time":[197],"algorithm.":[202],"Extensive":[203],"experiments":[204],"clear,":[206],"hazy,":[207],"rainy,":[208],"snowy":[210],"demonstrate":[212],"that":[213],"DTRDNet":[215],"outperforms":[216],"advanced":[217],"algorithms,":[220],"achieving":[221],"average":[223],"mAP":[224],"79.38%":[226],"across":[227],"four":[229],"test":[231],"sets.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}