{"id":"https://openalex.org/W1590848641","doi":"https://doi.org/10.1109/tip.2015.2461445","title":"Deblurring Saturated Night Image With Function-Form Kernel","display_name":"Deblurring Saturated Night Image With Function-Form Kernel","publication_year":2015,"publication_date":"2015-07-28","ids":{"openalex":"https://openalex.org/W1590848641","doi":"https://doi.org/10.1109/tip.2015.2461445","mag":"1590848641","pmid":"https://pubmed.ncbi.nlm.nih.gov/26241971"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2461445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2461445","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","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/A5100325563","display_name":"Haifeng Liu","orcid":"https://orcid.org/0000-0002-8142-0642"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haifeng Liu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656317","display_name":"Xiaoyan Sun","orcid":"https://orcid.org/0000-0003-3638-5566"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Sun","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039161616","display_name":"Lu Fang","orcid":"https://orcid.org/0000-0002-8258-784X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Fang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029102289","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0003-3989-0509"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100325563"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":1.6569,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88874745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"11","first_page":"4637","last_page":"4650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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/T11105","display_name":"Advanced Image Processing 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":0.9987999796867371,"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":0.9957000017166138,"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/deblurring","display_name":"Deblurring","score":0.9679967164993286},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.7487088441848755},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6900267601013184},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5666680335998535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5228660106658936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5148441195487976},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.4694103002548218},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.46173298358917236},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.4557364583015442},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4171217083930969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3958441913127899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38952410221099854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3410274386405945},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.331453800201416},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2988467812538147},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.1165207028388977}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9679967164993286},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7487088441848755},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6900267601013184},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5666680335998535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5228660106658936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5148441195487976},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.4694103002548218},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.46173298358917236},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4557364583015442},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4171217083930969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3958441913127899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38952410221099854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3410274386405945},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.331453800201416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2988467812538147},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.1165207028388977},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2015.2461445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2461445","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:26241971","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26241971","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:repository.ust.hk:1783.1-73227","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000360814100013","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G4694914812","display_name":null,"funder_award_id":"61390514","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G691124008","display_name":null,"funder_award_id":"61303151","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1275108472","https://openalex.org/W1543711598","https://openalex.org/W1598281290","https://openalex.org/W1598936309","https://openalex.org/W1792921166","https://openalex.org/W1976730913","https://openalex.org/W1987075379","https://openalex.org/W1988446025","https://openalex.org/W1989243075","https://openalex.org/W1994321112","https://openalex.org/W2002630316","https://openalex.org/W2012723578","https://openalex.org/W2015015901","https://openalex.org/W2025900737","https://openalex.org/W2026214447","https://openalex.org/W2030108224","https://openalex.org/W2036682493","https://openalex.org/W2041533771","https://openalex.org/W2043529138","https://openalex.org/W2045635831","https://openalex.org/W2077786999","https://openalex.org/W2088691392","https://openalex.org/W2098535678","https://openalex.org/W2099770336","https://openalex.org/W2106923440","https://openalex.org/W2109622777","https://openalex.org/W2113137767","https://openalex.org/W2119104466","https://openalex.org/W2119883478","https://openalex.org/W2120753013","https://openalex.org/W2120885221","https://openalex.org/W2124598728","https://openalex.org/W2126252886","https://openalex.org/W2135238609","https://openalex.org/W2138204001","https://openalex.org/W2141115311","https://openalex.org/W2151109506","https://openalex.org/W2160016589","https://openalex.org/W2161238905","https://openalex.org/W2167053624","https://openalex.org/W2167307343","https://openalex.org/W2170820036","https://openalex.org/W2540180983","https://openalex.org/W2604723401","https://openalex.org/W3137059050","https://openalex.org/W3144455176","https://openalex.org/W4214815024","https://openalex.org/W4236771684","https://openalex.org/W4256633373","https://openalex.org/W6628437774","https://openalex.org/W6635527474","https://openalex.org/W6635591035","https://openalex.org/W6651339705","https://openalex.org/W6653446477","https://openalex.org/W6677788327","https://openalex.org/W6682344109","https://openalex.org/W6683812499","https://openalex.org/W6829456359"],"related_works":["https://openalex.org/W2023738877","https://openalex.org/W2031788393","https://openalex.org/W2066613488","https://openalex.org/W1914708705","https://openalex.org/W2059639161","https://openalex.org/W2058895457","https://openalex.org/W791927757","https://openalex.org/W2269775642","https://openalex.org/W3207832039","https://openalex.org/W2026824768"],"abstract_inverted_index":{"Deblurring":[0],"saturated":[1,19,27,44,85,113],"night":[2],"images":[3,10],"are":[4,92],"a":[5,36,47,155],"challenging":[6,168],"problem":[7],"because":[8],"such":[9],"have":[11],"low":[12],"contrast":[13],"combined":[14],"with":[15],"heavy":[16],"noise":[17],"and":[18,51,79,90,124],"regions.":[20,114],"Unlike":[21],"the":[22,59,95,107,126,135,143],"deblurring":[23],"schemes":[24,166],"that":[25,161],"discard":[26],"regions":[28,45,133],"when":[29],"estimating":[30],"blur":[31,41,64,101],"kernels,":[32,65],"this":[33],"paper":[34],"proposes":[35],"novel":[37,48],"scheme":[38,163],"to":[39,122,130],"deduce":[40],"kernels":[42,70,110,129,146],"from":[43,112],"via":[46],"kernel":[49],"representation":[50,62],"advanced":[52],"algorithms.":[53],"Our":[54],"key":[55],"technical":[56],"contribution":[57],"is":[58],"proposed":[60],"function-form":[61,128,145],"of":[63,100,109],"which":[66],"regularizes":[67],"existing":[68,165],"matrix-form":[69],"using":[71],"three":[72,97],"functional":[73,98],"components:":[74],"1)":[75],"trajectory;":[76],"2)":[77],"intensity;":[78],"3)":[80],"expansion.":[81],"From":[82],"automatically":[83],"detected":[84],"regions,":[86],"their":[87],"skeleton,":[88],"brightness,":[89],"width":[91],"fitted":[93],"into":[94,147],"corresponding":[96],"components":[99],"kernels.":[102],"Such":[103],"regularization":[104],"significantly":[105],"improves":[106],"quality":[108],"deduced":[111,127],"Second,":[115],"we":[116,141],"propose":[117],"an":[118],"energy":[119],"minimizing":[120],"algorithm":[121],"select":[123],"assign":[125],"partitioned":[131],"image":[132],"as":[134],"initialization":[136],"for":[137,150],"non-uniform":[138],"deblurring.":[139],"Finally,":[140],"convert":[142],"assigned":[144],"matrix":[148],"form":[149],"more":[151],"detailed":[152],"estimation":[153],"in":[154],"multi-scale":[156],"deconvolution.":[157],"Experimental":[158],"results":[159],"show":[160],"our":[162],"outperforms":[164],"on":[167],"real":[169],"examples.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}