{"id":"https://openalex.org/W2789810439","doi":"https://doi.org/10.1109/vcip.2017.8305092","title":"Rain removal via residual generation cascading","display_name":"Rain removal via residual generation cascading","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2789810439","doi":"https://doi.org/10.1109/vcip.2017.8305092","mag":"2789810439"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5057049412","display_name":"Qiaobo Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210111163","display_name":"Shanghai Open University","ror":"https://ror.org/027r7gj11","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111163"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaobo Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai, China","institution_ids":["https://openalex.org/I4210111163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101848162","display_name":"Yi Xu","orcid":"https://orcid.org/0000-0002-5280-6132"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210111163","display_name":"Shanghai Open University","ror":"https://ror.org/027r7gj11","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111163"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Yi","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai, China","institution_ids":["https://openalex.org/I4210111163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014362734","display_name":"Bingbing Ni","orcid":"https://orcid.org/0000-0001-7339-028X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210111163","display_name":"Shanghai Open University","ror":"https://ror.org/027r7gj11","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111163"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingbing Ni","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai, China","institution_ids":["https://openalex.org/I4210111163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112572928","display_name":"Zan Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210111163","display_name":"Shanghai Open University","ror":"https://ror.org/027r7gj11","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111163"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zan Shen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai, China","institution_ids":["https://openalex.org/I4210111163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019708391","display_name":"Xiaokang Yang","orcid":"https://orcid.org/0000-0003-4029-3322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210111163","display_name":"Shanghai Open University","ror":"https://ror.org/027r7gj11","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111163"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Yang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Digital Media Processing and Transmission, Shanghai, China","institution_ids":["https://openalex.org/I4210111163"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2771,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66721075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973999857902527,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9943000078201294,"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":0.6900328397750854},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6331918835639954},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6218243837356567},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5380017757415771},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5366705060005188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5250047445297241},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4828343987464905},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46962761878967285},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4470413327217102},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.411310613155365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24920380115509033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16271337866783142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900328397750854},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6331918835639954},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6218243837356567},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5380017757415771},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5366705060005188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5250047445297241},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4828343987464905},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46962761878967285},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4470413327217102},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.411310613155365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24920380115509033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16271337866783142},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1536558813","https://openalex.org/W1986266272","https://openalex.org/W2005876512","https://openalex.org/W2096933452","https://openalex.org/W2099471712","https://openalex.org/W2103504761","https://openalex.org/W2110158442","https://openalex.org/W2121396509","https://openalex.org/W2125389028","https://openalex.org/W2154621477","https://openalex.org/W2209874411","https://openalex.org/W2331128040","https://openalex.org/W2466666260","https://openalex.org/W2509784253","https://openalex.org/W2580458810","https://openalex.org/W2963017889","https://openalex.org/W4231697575","https://openalex.org/W4251829712","https://openalex.org/W4320013936","https://openalex.org/W6678815747","https://openalex.org/W6702130928"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W4249847449","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W44395729"],"abstract_inverted_index":{"Single-image":[0],"rain":[1,20,51,87,135],"removal":[2,21,137],"has":[3],"always":[4],"been":[5],"challenging,":[6],"due":[7],"to":[8,49,112],"its":[9],"inherent":[10],"ill-posed":[11],"nature.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16],"propose":[17],"a":[18,30,42,55,72],"novel":[19],"pipeline.":[22],"This":[23],"pipeline":[24],"features":[25],"two":[26],"processing":[27],"pathways:":[28],"1)":[29],"bottom-up":[31,68],"pathway":[32,57],"which":[33,58],"iteratively":[34],"performs":[35],"down":[36],"sampling":[37],"and":[38,53,70,101,123],"subtraction":[39],"operations,":[40],"yielding":[41],"Laplacian":[43],"pyramid":[44],"(LP)":[45],"with":[46],"decreasing":[47],"scales,":[48],"bypass":[50],"details;":[52],"2)":[54],"top-down":[56],"is":[59,110],"built":[60],"on":[61,78,121],"image":[62,75,91,103,126],"series":[63,73],"obtained":[64],"by":[65],"the":[66,130,133],"above":[67],"process":[69],"generate":[71,114],"of":[74,132],"components":[76,94],"based":[77],"conditional":[79],"generative":[80],"adversarial":[81],"nets":[82],"(CGAN),":[83],"aiming":[84],"at":[85],"removing":[86],"streaks":[88,136],"while":[89],"preserving":[90],"details.":[92],"Generated":[93],"are":[95],"further":[96],"fused":[97],"via":[98],"scale-space":[99],"aggregation,":[100],"descriptive":[102],"intrinsic":[104],"information":[105],"contained":[106],"in":[107],"different":[108],"scales":[109],"interacted":[111],"jointly":[113],"high":[115],"quality":[116],"de-rained":[117],"image.":[118],"Extensive":[119],"experiments":[120],"synthetic":[122],"real-world":[124],"rainy":[125],"datasets":[127],"both":[128],"demonstrate":[129],"effectiveness":[131],"proposed":[134],"approach.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}