{"id":"https://openalex.org/W1969196867","doi":"https://doi.org/10.1109/tip.2014.2363734","title":"Robust Image Restoration via Adaptive Low-Rank Approximation and Joint Kernel Regression","display_name":"Robust Image Restoration via Adaptive Low-Rank Approximation and Joint Kernel Regression","publication_year":2014,"publication_date":"2014-10-22","ids":{"openalex":"https://openalex.org/W1969196867","doi":"https://doi.org/10.1109/tip.2014.2363734","mag":"1969196867","pmid":"https://pubmed.ncbi.nlm.nih.gov/25347877"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2363734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2363734","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/A5101972668","display_name":"Chen Huang","orcid":"https://orcid.org/0009-0003-6183-8181"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Huang","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111444853","display_name":"Xiaoqing Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Ding","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113746576","display_name":"Chi Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Fang","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089128130","display_name":"Di Wen","orcid":"https://orcid.org/0000-0003-3216-1493"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wen","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101972668"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.4143,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.93917914,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"12","first_page":"5284","last_page":"5297"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.6918599605560303},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6329743266105652},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5674039125442505},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.562584400177002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5375717282295227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5350872874259949},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.4940195679664612},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.48501870036125183},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4583001732826233},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3706411123275757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.355014830827713},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29279670119285583},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25239503383636475},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1712334156036377}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.6918599605560303},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6329743266105652},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5674039125442505},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.562584400177002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5375717282295227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5350872874259949},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.4940195679664612},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.48501870036125183},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4583001732826233},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3706411123275757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.355014830827713},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29279670119285583},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25239503383636475},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1712334156036377},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2363734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2363734","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:25347877","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25347877","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G7373123958","display_name":null,"funder_award_id":"2013CB329403","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1516432062","https://openalex.org/W1579828764","https://openalex.org/W1622505184","https://openalex.org/W1736339626","https://openalex.org/W1773713902","https://openalex.org/W1973567017","https://openalex.org/W1976416062","https://openalex.org/W1976730913","https://openalex.org/W1977581467","https://openalex.org/W1987075379","https://openalex.org/W1992408872","https://openalex.org/W1994321112","https://openalex.org/W1996938194","https://openalex.org/W2044810215","https://openalex.org/W2062811295","https://openalex.org/W2066141237","https://openalex.org/W2080592425","https://openalex.org/W2081385919","https://openalex.org/W2097073572","https://openalex.org/W2098506229","https://openalex.org/W2102091600","https://openalex.org/W2109240917","https://openalex.org/W2114113040","https://openalex.org/W2115706991","https://openalex.org/W2117865218","https://openalex.org/W2125655865","https://openalex.org/W2133665775","https://openalex.org/W2134276905","https://openalex.org/W2138204001","https://openalex.org/W2145962650","https://openalex.org/W2147298660","https://openalex.org/W2149669120","https://openalex.org/W2150081556","https://openalex.org/W2151452149","https://openalex.org/W2153663612","https://openalex.org/W2154815154","https://openalex.org/W2160016589","https://openalex.org/W2161516371","https://openalex.org/W2167307343","https://openalex.org/W2172275395","https://openalex.org/W2534320940","https://openalex.org/W2798766386","https://openalex.org/W3104720471","https://openalex.org/W3123837026","https://openalex.org/W4240136702","https://openalex.org/W6634856151","https://openalex.org/W6644253453","https://openalex.org/W6681807782","https://openalex.org/W6683660953","https://openalex.org/W6684694354","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W2066613488","https://openalex.org/W791927757","https://openalex.org/W2315427282","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W3207832039","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762"],"abstract_inverted_index":{"In":[0,70,113,160],"recent":[1],"years,":[2],"image":[3,19,108,211],"priors":[4],"based":[5],"on":[6,199],"nonlocal":[7,98,142],"self-similarity":[8],"and":[9,30,48,55,78,86,97,120,133,193,201,213],"low-rank":[10,34,49,132],"approximation":[11,136],"have":[12],"been":[13],"proven":[14],"as":[15,27,223],"powerful":[16],"tools":[17],"for":[18],"restoration.":[20],"Many":[21],"restoration":[22,109],"methods":[23],"group":[24],"similar":[25],"patches":[26],"a":[28,61,84],"matrix":[29,39,135],"recover":[31],"the":[32,37,45,91,140,145,157,161,174,179,188,205],"underlying":[33],"structure":[35],"from":[36],"corrupted":[38],"via":[40],"rank":[41,143],"minimization.":[42],"However,":[43],"both":[44],"nonlocally":[46],"redundant":[47],"properties":[50,77],"are":[51],"highly":[52],"content":[53],"dependent,":[54],"whether":[56],"they":[57],"can":[58],"faithfully":[59],"characterize":[60],"wide":[62],"range":[63],"of":[64,81,94,150,181,207],"natural":[65],"images":[66,203],"still":[67],"remains":[68],"unclear.":[69],"this":[71],"paper,":[72],"we":[73,128,165],"analyze":[74],"these":[75,102],"two":[76],"provide":[79],"quantifications":[80],"them":[82],"in":[83,144,210],"data-driven":[85],"parametric":[87],"way,":[88],"respectively,":[89],"obtaining":[90],"new":[92],"measures":[93],"regional":[95,151],"redundancy":[96,152,175],"patch":[99,146],"rank.":[100],"Leveraging":[101],"prior":[103],"leads":[104],"to":[105,138,156,177,219],"an":[106,130,167],"adaptive":[107,131,168],"method":[110,116,209],"with":[111],"content-awareness.":[112],"particular,":[114],"our":[115,191,208],"iteratively":[117],"removes":[118],"outliers":[119,221],"recovers":[121],"latent":[122],"fine":[123],"details.":[124],"To":[125],"handle":[126],"outliers,":[127],"propose":[129,166],"sparse":[134],"algorithm":[137,172],"encourage":[139],"estimated":[141],"matrix.":[147],"The":[148],"guidance":[149],"further":[153],"gives":[154],"rise":[155],"\u201cdenoise\u201d":[158],"quality.":[159],"detail":[162],"recovery":[163],"step,":[164],"joint":[169],"kernel":[170],"regression":[171,183],"using":[173],"measure":[176],"determine":[178],"confidence":[180],"each":[182],"group.":[184],"It":[185],"also":[186],"bridges":[187],"gap":[189],"between":[190],"online":[192],"offline":[194],"dictionary":[195],"learning":[196],"schemes.":[197],"Experiments":[198],"synthetic":[200],"real-world":[202],"show":[204],"efficacy":[206],"deblurring":[212],"super-resolution":[214],"tasks,":[215],"especially":[216],"when":[217],"subject":[218],"practical":[220],"such":[222],"rain":[224],"drops.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}