{"id":"https://openalex.org/W2940613399","doi":"https://doi.org/10.1109/vcip.2018.8698655","title":"Low-Rank and Locally Linear Embedding Approach to Image Inpainting","display_name":"Low-Rank and Locally Linear Embedding Approach to Image Inpainting","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2940613399","doi":"https://doi.org/10.1109/vcip.2018.8698655","mag":"2940613399"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2018.8698655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5089078836","display_name":"Ryohei Sasaki","orcid":"https://orcid.org/0000-0003-2327-7910"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryohei Sasaki","raw_affiliation_strings":["Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100866596","display_name":"Katsumi Konishi","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsumi Konishi","raw_affiliation_strings":["Graduate School of Information Science, Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026581043","display_name":"Tomohiro Takahashi","orcid":"https://orcid.org/0000-0003-1325-0693"},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Takahashi","raw_affiliation_strings":["Graduate School of Information Science and Technology, Tokai University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Tokai University, Kanagawa, Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101060065","display_name":"Toshihiro Furukawa","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihiro Furukawa","raw_affiliation_strings":["Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089078836"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64440954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"290","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976000189781189,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976000189781189,"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/T10052","display_name":"Medical Image Segmentation Techniques","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.9275110960006714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6407161951065063},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.5998498201370239},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5588417053222656},{"id":"https://openalex.org/keywords/block-matrix","display_name":"Block matrix","score":0.5462992191314697},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5439332723617554},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5052276253700256},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.49979400634765625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45730310678482056},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4567469656467438},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4456176459789276},{"id":"https://openalex.org/keywords/hankel-matrix","display_name":"Hankel matrix","score":0.43766695261001587},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4308726489543915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3145306706428528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.26042377948760986},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.16651389002799988}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9275110960006714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6407161951065063},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.5998498201370239},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5588417053222656},{"id":"https://openalex.org/C85817219","wikidata":"https://www.wikidata.org/wiki/Q884772","display_name":"Block matrix","level":3,"score":0.5462992191314697},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5439332723617554},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5052276253700256},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.49979400634765625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45730310678482056},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4567469656467438},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4456176459789276},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.43766695261001587},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4308726489543915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3145306706428528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26042377948760986},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.16651389002799988},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2018.8698655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1562968274","https://openalex.org/W1987201866","https://openalex.org/W2051426805","https://openalex.org/W2053186076","https://openalex.org/W2056217824","https://openalex.org/W2079258178","https://openalex.org/W2165736859","https://openalex.org/W2765514066"],"related_works":["https://openalex.org/W3200523492","https://openalex.org/W2048839758","https://openalex.org/W2534090803","https://openalex.org/W2765110838","https://openalex.org/W3112113041","https://openalex.org/W4312582398","https://openalex.org/W2613645387","https://openalex.org/W2079258178","https://openalex.org/W2887874867","https://openalex.org/W4220722047"],"abstract_inverted_index":{"This":[0],"paper":[1,69],"proposes":[2],"a":[3,39],"new":[4],"algorithm":[5,9,77,89],"for":[6],"image":[7,28,47],"inpainting":[8,48,81],"based":[10],"on":[11],"the":[12,46,66,71,87],"matrix":[13,74],"rank":[14,56],"minimization":[15],"and":[16,78],"locally":[17],"linear":[18,40],"embedding":[19],"(LLE)":[20],"method.":[21],"Assuming":[22],"that":[23,86],"intensity":[24],"values":[25],"of":[26,55,57,59],"an":[27,31,43,80],"belong":[29],"to":[30,64],"unknown":[32,44],"manifold,":[33],"which":[34],"can":[35],"be":[36],"mapped":[37],"into":[38],"subspace":[41],"by":[42],"function,":[45],"problem":[49],"is":[50],"formulated":[51],"as":[52],"minimizing":[53],"sum":[54],"submatrices":[58],"Hankel":[60],"matrix.":[61],"In":[62],"order":[63],"solve":[65],"problem,":[67],"this":[68],"modifies":[70],"iterative":[72],"partial":[73],"shrinkage":[75],"(IPMS)":[76],"provides":[79],"algorithm.":[82],"Numerical":[83],"examples":[84],"show":[85],"proposed":[88],"recovers":[90],"missing":[91],"pixels":[92],"efficiently.":[93]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
