{"id":"https://openalex.org/W3095734423","doi":"https://doi.org/10.1186/s13640-020-00531-5","title":"Image restoration based on sparse representation using feature classification learning","display_name":"Image restoration based on sparse representation using feature classification learning","publication_year":2020,"publication_date":"2020-11-04","ids":{"openalex":"https://openalex.org/W3095734423","doi":"https://doi.org/10.1186/s13640-020-00531-5","mag":"3095734423"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-020-00531-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-020-00531-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-020-00531-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-020-00531-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054196865","display_name":"Minhui Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I110262843","display_name":"Yuncheng University","ror":"https://ror.org/03qt1g669","country_code":"CN","type":"education","lineage":["https://openalex.org/I110262843"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minhui Chang","raw_affiliation_strings":["School of mathematics and information technology, Yuncheng University, Yuncheng, 044000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of mathematics and information technology, Yuncheng University, Yuncheng, 044000, China","institution_ids":["https://openalex.org/I110262843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I110262843","display_name":"Yuncheng University","ror":"https://ror.org/03qt1g669","country_code":"CN","type":"education","lineage":["https://openalex.org/I110262843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of mathematics and information technology, Yuncheng University, Yuncheng, 044000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of mathematics and information technology, Yuncheng University, Yuncheng, 044000, China","institution_ids":["https://openalex.org/I110262843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054196865"],"corresponding_institution_ids":["https://openalex.org/I110262843"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.2884,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.55659855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2020","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9986000061035156,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9940999746322632,"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/inpainting","display_name":"Inpainting","score":0.7581195831298828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.757936954498291},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7388242483139038},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.706222653388977},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6819202303886414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5634225010871887},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5488508343696594},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4733809530735016},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.45880189538002014},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4005560874938965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3894041180610657},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25574931502342224}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7581195831298828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.757936954498291},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7388242483139038},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.706222653388977},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6819202303886414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5634225010871887},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5488508343696594},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4733809530735016},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.45880189538002014},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4005560874938965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3894041180610657},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25574931502342224},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-020-00531-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-020-00531-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-020-00531-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:504c3a6e560e454bb9b5d01506d2ceab","is_oa":true,"landing_page_url":"https://doaj.org/article/504c3a6e560e454bb9b5d01506d2ceab","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2020, Iss 1, Pp 1-18 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-020-00531-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-020-00531-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-020-00531-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G204224677","display_name":null,"funder_award_id":"2018034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2389342063","display_name":null,"funder_award_id":"2019025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2754662945","display_name":null,"funder_award_id":"61703363","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316907","display_name":"Yuncheng University","ror":"https://ror.org/03qt1g669"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3095734423.pdf","grobid_xml":"https://content.openalex.org/works/W3095734423.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1991174941","https://openalex.org/W1999905919","https://openalex.org/W2029411311","https://openalex.org/W2031832209","https://openalex.org/W2040073627","https://openalex.org/W2045737896","https://openalex.org/W2064309976","https://openalex.org/W2093745438","https://openalex.org/W2096461046","https://openalex.org/W2105038642","https://openalex.org/W2106109550","https://openalex.org/W2116013899","https://openalex.org/W2120001410","https://openalex.org/W2144245917","https://openalex.org/W2160547390","https://openalex.org/W2295936755","https://openalex.org/W2402894465","https://openalex.org/W2609641916","https://openalex.org/W2613645387","https://openalex.org/W2774889464","https://openalex.org/W2789569109","https://openalex.org/W2794704434","https://openalex.org/W2888396224","https://openalex.org/W2903566909","https://openalex.org/W2917315724","https://openalex.org/W2945726677","https://openalex.org/W2947622416","https://openalex.org/W2962555351","https://openalex.org/W2963231084","https://openalex.org/W3038886336","https://openalex.org/W3043547428","https://openalex.org/W3081108418","https://openalex.org/W3151493227","https://openalex.org/W4235713725"],"related_works":["https://openalex.org/W2016265625","https://openalex.org/W2111634407","https://openalex.org/W2552089492","https://openalex.org/W4205656132","https://openalex.org/W2982240858","https://openalex.org/W2008821896","https://openalex.org/W1978749115","https://openalex.org/W2067062989","https://openalex.org/W2555730586","https://openalex.org/W3004790527"],"abstract_inverted_index":{"Abstract":[0],"In":[1,56],"the":[2,10,20,26,32,42,82,88,91,95,101,139,156,165,177,181],"image":[3,23,64],"inpainting":[4],"method":[5,66,120,136],"based":[6,67],"on":[7,19,68,81,149,172],"sparse":[8,69,140,161],"representation,":[9],"adaptability":[11],"of":[12,22,44,58,142,170,180],"over-complete":[13,27,123,152,157],"dictionary":[14,28,158],"has":[15],"a":[16],"great":[17],"influence":[18],"result":[21,40],"restoration.":[24],"If":[25],"cannot":[29],"effectively":[30],"reflect":[31],"differences":[33],"between":[34,90],"different":[35,128,146],"local":[36,83,102,147],"features,":[37],"it":[38],"may":[39],"in":[41,48,53],"loss":[43],"texture":[45,112],"details,":[46],"resulting":[47],"blurred":[49],"or":[50],"over-smooth":[51],"phenomenon":[52],"restored":[54],"images.":[55],"view":[57],"these":[59],"problems,":[60],"we":[61,76,98,115,131],"propose":[62],"an":[63],"restoration":[65,174],"representation":[70],"using":[71],"feature":[72],"classification":[73],"learning.":[74],"Firstly,":[75],"perform":[77],"singular":[78],"value":[79],"decomposition":[80],"gradient":[84],"vector.":[85],"According":[86],"to":[87,121,127,137,163],"relationship":[89],"main":[92],"orientation":[93],"and":[94,111,154,159],"secondary":[96],"orientation,":[97],"classify":[99],"all":[100],"patches":[103,144],"into":[104],"three":[105],"categories:":[106],"smooth":[107],"patch,":[108],"edge":[109],"patch":[110],"patch.":[113],"Secondly,":[114],"use":[116,132,155],"K-Singular":[117],"Value":[118],"Decomposition":[119],"learn":[122],"dictionaries":[124],"that":[125],"adapt":[126],"features.":[129],"Finally,":[130],"Orthogonal":[133],"Matching":[134],"Pursuit":[135],"calculate":[138],"coding":[141,162],"target":[143],"with":[145],"features":[148],"their":[150],"corresponding":[151,160],"dictionaries,":[153],"restore":[164],"damaged":[166],"pixels.":[167],"A":[168],"series":[169],"experiments":[171],"various":[173],"tasks":[175],"show":[176],"superior":[178],"performance":[179],"proposed":[182],"method.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}