{"id":"https://openalex.org/W4386025429","doi":"https://doi.org/10.1145/3606193.3606196","title":"An End-to-end Learning Based Covolutional Neural Network for Single Image Defogging Algorithm","display_name":"An End-to-end Learning Based Covolutional Neural Network for Single Image Defogging Algorithm","publication_year":2023,"publication_date":"2023-03-24","ids":{"openalex":"https://openalex.org/W4386025429","doi":"https://doi.org/10.1145/3606193.3606196"},"language":"en","primary_location":{"id":"doi:10.1145/3606193.3606196","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3606193.3606196","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3606193.3606196","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Symposium on Signal Processing Systems (SSPS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3606193.3606196","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011497980","display_name":"Qiqing Li","orcid":"https://orcid.org/0009-0008-8851-4036"},"institutions":[{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqing Li","raw_affiliation_strings":["Zhuhai College of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0008-8851-4036","affiliations":[{"raw_affiliation_string":"Zhuhai College of Science and Technology, China","institution_ids":["https://openalex.org/I4210165204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111027467","display_name":"Li Ru","orcid":"https://orcid.org/0009-0004-0118-9623"},"institutions":[{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ru Li","raw_affiliation_strings":["Zhuhai College of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0004-0118-9623","affiliations":[{"raw_affiliation_string":"Zhuhai College of Science and Technology, China","institution_ids":["https://openalex.org/I4210165204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103231177","display_name":"Xin Shen","orcid":"https://orcid.org/0009-0005-0390-1255"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Xin Shen","raw_affiliation_strings":["City University of Macau, China"],"raw_orcid":"https://orcid.org/0009-0005-0390-1255","affiliations":[{"raw_affiliation_string":"City University of Macau, China","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045728006","display_name":"Wei Lv","orcid":"https://orcid.org/0000-0003-1863-7328"},"institutions":[{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Lv","raw_affiliation_strings":["Zhuhai College of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-1863-7328","affiliations":[{"raw_affiliation_string":"Zhuhai College of Science and Technology, China","institution_ids":["https://openalex.org/I4210165204"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10718906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"21"},"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":0.996399998664856,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9879000186920166,"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":0.7579077482223511},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7347132563591003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.707150936126709},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6544973850250244},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6333754658699036},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5885783433914185},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5093725919723511},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4975931942462921},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4512280225753784},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4301043450832367},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.42916372418403625},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4145590364933014},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3357337713241577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1173950731754303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579077482223511},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7347132563591003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.707150936126709},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6544973850250244},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6333754658699036},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5885783433914185},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5093725919723511},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4975931942462921},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4512280225753784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4301043450832367},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.42916372418403625},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4145590364933014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3357337713241577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1173950731754303},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606193.3606196","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3606193.3606196","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3606193.3606196","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Symposium on Signal Processing Systems (SSPS)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3606193.3606196","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3606193.3606196","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3606193.3606196","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Symposium on Signal Processing Systems (SSPS)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386025429.pdf","grobid_xml":"https://content.openalex.org/works/W4386025429.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2128254161","https://openalex.org/W2256362396","https://openalex.org/W2791550762","https://openalex.org/W2884585870","https://openalex.org/W2900461037","https://openalex.org/W2963928582","https://openalex.org/W2979983945","https://openalex.org/W3036289652","https://openalex.org/W3122722247","https://openalex.org/W3149842738","https://openalex.org/W6747235268","https://openalex.org/W6750018563","https://openalex.org/W6750330310"],"related_works":["https://openalex.org/W3179968364","https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2151749779","https://openalex.org/W2085033728"],"abstract_inverted_index":{"In":[0,164],"the":[1,17,33,40,56,62,88,91,99,107,120,132,139,151,171],"era":[2],"of":[3,19,35,42,64],"big":[4],"data,":[5],"there":[6,159],"are":[7],"more":[8,10],"and":[9,38,72,95,97,119,147,176],"outdoor":[11,134],"camera":[12,25],"acquisition":[13,26],"equipment.":[14],"Due":[15],"to":[16,30,32,54,105,110],"influence":[18],"extreme":[20],"weather,":[21],"such":[22],"as":[23],"fog,":[24],"equipment":[27],"is":[28,160,167],"easy":[29],"lead":[31],"decline":[34],"image":[36,43,58,84,109],"quality":[37],"destroy":[39],"value":[41],"application.":[44],"Therefore,":[45],"this":[46,76],"paper":[47,77,137],"will":[48],"propose":[49],"an":[50,79],"advanced":[51],"dehazing":[52,85],"algorithm":[53],"make":[55],"foggy":[57,108],"clearer.":[59],"Based":[60],"on":[61,131,150,174,179],"principle":[63],"residual":[65],"neural":[66],"network,":[67],"combined":[68],"with":[69,155],"attention":[70],"mechanism":[71],"feature":[73,100,104],"pyramid":[74,101],"idea,":[75],"proposes":[78],"end":[80],"to-end":[81],"learning":[82],"single":[83],"algorithm.":[86],"Let":[87],"network":[89],"learn":[90],"relationship":[92],"between":[93],"channels":[94],"pixels,":[96],"use":[98],"multi-scale":[102],"fusion":[103],"restore":[106],"a":[111,161],"clear":[112],"image.":[113],"The":[114],"SSIM":[115,175],"score":[116,122],"was":[117,123],"0.9687":[118],"PSNR":[121],"29.16.":[124],"Very":[125],"good":[126],"results":[127],"have":[128],"been":[129],"achieved":[130],"RESIDE":[133],"dataset.":[135,153],"This":[136],"finds":[138],"scores":[140],"obtained":[141],"by":[142],"testing":[143],"DCP,":[144],"AOD-NET,":[145],"DeHazeNet,":[146],"GFN":[148],"methods":[149],"same":[152],"Compared":[154],"these":[156],"four":[157],"methods,":[158],"significant":[162],"improvement.":[163],"particular,":[165],"it":[166],"15.39%":[168],"higher":[169,178],"than":[170],"DCP":[172],"method":[173],"10.03%":[177],"PSNP.":[180]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
