{"id":"https://openalex.org/W2759428153","doi":"https://doi.org/10.1109/tpami.2017.2753804","title":"Deblurring Images via Dark Channel Prior","display_name":"Deblurring Images via Dark Channel Prior","publication_year":2017,"publication_date":"2017-09-22","ids":{"openalex":"https://openalex.org/W2759428153","doi":"https://doi.org/10.1109/tpami.2017.2753804","mag":"2759428153","pmid":"https://pubmed.ncbi.nlm.nih.gov/28952935"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2753804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2753804","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5004164569","display_name":"Jinshan Pan","orcid":"https://orcid.org/0000-0003-0304-9507"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinshan Pan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101440839","display_name":"Deqing Sun","orcid":"https://orcid.org/0000-0003-0329-0456"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deqing Sun","raw_affiliation_strings":["NVIDIA, Westford, MA"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Westford, MA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043151044","display_name":"Hanspeter Pfister","orcid":"https://orcid.org/0000-0002-3620-2582"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanspeter Pfister","raw_affiliation_strings":["Harvard University, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418319","display_name":"Ming\u2013Hsuan Yang","orcid":"https://orcid.org/0000-0003-4848-2304"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Hsuan Yang","raw_affiliation_strings":["School of Engineering, University of California, Merced, CA"],"affiliations":[{"raw_affiliation_string":"School of Engineering, University of California, Merced, CA","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004164569"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":7.0229,"has_fulltext":false,"cited_by_count":287,"citation_normalized_percentile":{"value":0.98100831,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"40","issue":"10","first_page":"2315","last_page":"2328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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/T11105","display_name":"Advanced Image Processing 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/T10688","display_name":"Image and Signal Denoising Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9966999888420105,"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/deblurring","display_name":"Deblurring","score":0.9890210628509521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7152138352394104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7061856985092163},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6936849355697632},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6795387268066406},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6339780688285828},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5995906591415405},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5415435433387756},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5253961682319641},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28837335109710693}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9890210628509521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7152138352394104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061856985092163},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6936849355697632},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6795387268066406},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6339780688285828},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5995906591415405},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5415435433387756},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5253961682319641},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28837335109710693},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2017.2753804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2753804","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28952935","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28952935","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":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G2351125877","display_name":null,"funder_award_id":"61732007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":63,"referenced_works":["https://openalex.org/W233979554","https://openalex.org/W1457323852","https://openalex.org/W1598281290","https://openalex.org/W1598936309","https://openalex.org/W1604428010","https://openalex.org/W1681747385","https://openalex.org/W1895439721","https://openalex.org/W1916935112","https://openalex.org/W1976730913","https://openalex.org/W1978333359","https://openalex.org/W1987075379","https://openalex.org/W1990592195","https://openalex.org/W1992309968","https://openalex.org/W1994321112","https://openalex.org/W1999787974","https://openalex.org/W2030108224","https://openalex.org/W2032506791","https://openalex.org/W2036682493","https://openalex.org/W2043529138","https://openalex.org/W2045849979","https://openalex.org/W2047123483","https://openalex.org/W2061052400","https://openalex.org/W2073489937","https://openalex.org/W2088909704","https://openalex.org/W2098535678","https://openalex.org/W2103913786","https://openalex.org/W2106923440","https://openalex.org/W2115277592","https://openalex.org/W2121927366","https://openalex.org/W2123142395","https://openalex.org/W2132244934","https://openalex.org/W2135238609","https://openalex.org/W2138204001","https://openalex.org/W2141115311","https://openalex.org/W2147354314","https://openalex.org/W2151150590","https://openalex.org/W2154194773","https://openalex.org/W2164570415","https://openalex.org/W2167307343","https://openalex.org/W2172275395","https://openalex.org/W2187997753","https://openalex.org/W2300657047","https://openalex.org/W2331376995","https://openalex.org/W2461759225","https://openalex.org/W2474628748","https://openalex.org/W2501287033","https://openalex.org/W2513038312","https://openalex.org/W2518979500","https://openalex.org/W2519597608","https://openalex.org/W2519936666","https://openalex.org/W2951738093","https://openalex.org/W3129376454","https://openalex.org/W4236387761","https://openalex.org/W6609069250","https://openalex.org/W6635591035","https://openalex.org/W6647720530","https://openalex.org/W6658772490","https://openalex.org/W6662196125","https://openalex.org/W6682095934","https://openalex.org/W6684399562","https://openalex.org/W6686904142","https://openalex.org/W6725555657","https://openalex.org/W6727252148"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W2557898294","https://openalex.org/W2031788393","https://openalex.org/W2232201529","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W2359633702","https://openalex.org/W2033307681","https://openalex.org/W3153582293"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,20,69],"effective":[3],"blind":[4,94],"image":[5,39,84,168],"deblurring":[6,95,138],"algorithm":[7,139],"based":[8],"on":[9,144],"the":[10,24,47,64,73,89,111,136,141,161],"dark":[11,25,42,65,90,112],"channel":[12,26,66,91,113],"prior.":[13],"The":[14],"motivation":[15],"of":[16,27,63,72,88,110],"this":[17,44,121,130],"work":[18],"is":[19,30,45,68],"interesting":[21],"observation":[22],"that":[23,135,160],"blurred":[28],"images":[29,146],"less":[31],"sparse.":[32],"While":[33],"most":[34],"patches":[35],"in":[36,61,96],"a":[37,115,125],"clean":[38],"contain":[40],"some":[41],"pixels,":[43],"not":[46],"case":[48],"when":[49],"they":[50],"are":[51],"averaged":[52],"with":[53],"neighboring":[54],"ones":[55],"by":[56],"motion":[57,74],"blur.":[58],"This":[59],"change":[60],"sparsity":[62,87,109],"pixels":[67],"inherent":[70],"property":[71],"blur":[75],"process,":[76],"which":[77],"we":[78,123,158],"prove":[79],"mathematically":[80],"and":[81,104,147],"validate":[82],"using":[83],"data.":[85],"Enforcing":[86],"thus":[92],"helps":[93],"various":[97],"scenarios":[98],"such":[99],"as":[100],"natural,":[101],"face,":[102],"text,":[103],"low-illumination":[105],"images.":[106],"However,":[107],"imposing":[108],"introduces":[114],"non-convex":[116],"non-linear":[117],"optimization":[118],"problem.":[119],"In":[120,156],"work,":[122],"introduce":[124],"linear":[126],"approximation":[127],"to":[128,167],"address":[129],"issue.":[131],"Extensive":[132],"experiments":[133],"demonstrate":[134],"proposed":[137,162],"achieves":[140],"state-of-the-art":[142],"results":[143],"natural":[145],"performs":[148],"favorably":[149],"against":[150],"methods":[151],"designed":[152],"for":[153],"specific":[154],"scenarios.":[155],"addition,":[157],"show":[159],"method":[163],"can":[164],"be":[165],"applied":[166],"dehazing.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":52},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":44},{"year":2020,"cited_by_count":41},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":7}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
