{"id":"https://openalex.org/W2557267249","doi":"https://doi.org/10.1109/cec.2016.7744110","title":"Adaptive patch-based sparsity estimation for image via MOEA/D","display_name":"Adaptive patch-based sparsity estimation for image via MOEA/D","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2557267249","doi":"https://doi.org/10.1109/cec.2016.7744110","mag":"2557267249"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","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/A5048421704","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0002-3224-0063"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000546219","display_name":"Qingfu Zhang","orcid":"https://orcid.org/0000-0003-0786-0671"},"institutions":[{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Qingfu Zhang","raw_affiliation_strings":["Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009745732","display_name":"Mengyuan Wu","orcid":"https://orcid.org/0000-0002-1429-122X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Mengyuan Wu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048421704"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.6241,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71189637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"18","issue":null,"first_page":"2573","last_page":"2580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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":0.9988999962806702,"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/sparse-approximation","display_name":"Sparse approximation","score":0.716823935508728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6347469687461853},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5538168549537659},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5334969162940979},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5330055952072144},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5236437320709229},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5207500457763672},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45032021403312683},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4304821491241455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4203197956085205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40620899200439453},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3253863453865051}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.716823935508728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6347469687461853},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5538168549537659},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5334969162940979},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5330055952072144},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5236437320709229},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5207500457763672},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45032021403312683},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4304821491241455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4203197956085205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40620899200439453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3253863453865051},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2016.7744110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.essex.ac.uk:18563","is_oa":false,"landing_page_url":"http://repository.essex.ac.uk/18563/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401236","display_name":"Open Access at Essex (University of Essex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I110002522","host_organization_name":"University of Essex","host_organization_lineage":["https://openalex.org/I110002522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W52537375","https://openalex.org/W638838096","https://openalex.org/W756598981","https://openalex.org/W1588375755","https://openalex.org/W1959291225","https://openalex.org/W1967414515","https://openalex.org/W1972959470","https://openalex.org/W1973794531","https://openalex.org/W1978567114","https://openalex.org/W1985541999","https://openalex.org/W2001646999","https://openalex.org/W2011048370","https://openalex.org/W2028781966","https://openalex.org/W2035960005","https://openalex.org/W2038420231","https://openalex.org/W2039252507","https://openalex.org/W2046658845","https://openalex.org/W2064451467","https://openalex.org/W2065321782","https://openalex.org/W2095978736","https://openalex.org/W2100037283","https://openalex.org/W2126105956","https://openalex.org/W2127271355","https://openalex.org/W2142789658","https://openalex.org/W2143381319","https://openalex.org/W2145096794","https://openalex.org/W2150046657","https://openalex.org/W2151693816","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2160979406","https://openalex.org/W2242858139","https://openalex.org/W2296616510","https://openalex.org/W2963438348","https://openalex.org/W4250955649","https://openalex.org/W6675709261"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W2379256376","https://openalex.org/W4205656132","https://openalex.org/W2998105788","https://openalex.org/W2107703637","https://openalex.org/W2111634407","https://openalex.org/W2783282829","https://openalex.org/W2579633471"],"abstract_inverted_index":{"Due":[0],"to":[1,15,56,104,171],"the":[2,17,50,78,91,107,113,132,148],"extensive":[3],"and":[4,42,63,155,181],"various":[5],"information":[6],"that":[7,105,165],"natural":[8],"images":[9],"contain,":[10],"it":[11],"is":[12,54,102,134,169],"very":[13],"challenging":[14],"estimate":[16],"sparsity":[18,29,66,79,100,133,154],"for":[19,32,49,88,95],"an":[20,27,38],"image.":[21],"In":[22,46,90],"this":[23,129,138,143],"paper,":[24],"we":[25],"propose":[26],"adaptive":[28,157],"estimation":[30,44,93],"model":[31],"image":[33],"patches,":[34,76],"which":[35],"consists":[36],"of":[37,60,73,106,179],"offline":[39,47],"training":[40,51,75,110],"phase":[41],"online":[43,92],"phase.":[45],"training,":[48],"patch,":[52,98],"MOEA/D":[53],"applied":[55],"obtain":[57],"a":[58,65,70,84,96,122],"group":[59],"Pareto":[61],"solutions":[62],"determine":[64],"range.":[67,130,144],"By":[68,145],"processing":[69],"reduced":[71],"number":[72],"representative":[74],"all":[77],"ranges":[80],"are":[81],"stored":[82],"in":[83,177],"look-up":[85],"table":[86],"(LUT)":[87],"reuse.":[89],"phase,":[94],"query":[97],"its":[99],"range":[101],"set":[103],"most":[108],"similar":[109],"patch.":[111],"And":[112],"corresponding":[114],"sparse":[115,139,174],"representation":[116,140,175],"vector":[117,141],"can":[118],"be":[119],"obtained":[120],"by":[121,128,137],"sparsity-restricted":[123],"greedy":[124,150],"algorithm":[125],"(SRGA)":[126],"constrained":[127],"Thus,":[131],"adaptively":[135],"determined":[136],"within":[142],"comparing":[146],"with":[147,152],"state-of-the-art":[149],"algorithms":[151],"fixed":[153],"one":[156],"method,":[158],"experimental":[159],"studies":[160],"on":[161],"benchmark":[162],"dataset":[163],"demonstrate":[164],"our":[166],"proposed":[167],"approach":[168],"able":[170],"achieve":[172],"better":[173],"quality":[176],"terms":[178],"PSNR":[180],"coding":[182],"efficiency.":[183]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
