{"id":"https://openalex.org/W2170509246","doi":"https://doi.org/10.1080/00207160108805025","title":"Image restoration by combining local genetic algorithm with adaptive pre-conditioning<sup>\u2217</sup>","display_name":"Image restoration by combining local genetic algorithm with adaptive pre-conditioning<sup>\u2217</sup>","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W2170509246","doi":"https://doi.org/10.1080/00207160108805025","mag":"2170509246"},"language":"en","primary_location":{"id":"doi:10.1080/00207160108805025","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207160108805025","pdf_url":null,"source":{"id":"https://openalex.org/S124867444","display_name":"International Journal of Computer Mathematics","issn_l":"0020-7160","issn":["0020-7160","1026-7425","1029-0265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics","raw_type":"journal-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/A5109997206","display_name":"T. Jiang","orcid":"https://orcid.org/0009-0008-1482-2394"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210130445","display_name":"Max Planck Institute for Human Cognitive and Brain Sciences","ror":"https://ror.org/0387jng26","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210130445"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN","DE"],"is_corresponding":true,"raw_author_name":"Tianzi Jiang","raw_affiliation_strings":["\n                   \n               Max-Planck Institute of congnitive Neuroscience Stephanstrasse 1, Leipzig, D-04103, Germany;\n                   \n               National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, 100080, P.R.China","Max-Planck Institute of congnitive Neuroscience Stephanstrasse 1, Leipzig, D-04103, Germany","National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, 100080, P.R.China"],"affiliations":[{"raw_affiliation_string":"\n                   \n               Max-Planck Institute of congnitive Neuroscience Stephanstrasse 1, Leipzig, D-04103, Germany;\n                   \n               National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, 100080, P.R.China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Max-Planck Institute of congnitive Neuroscience Stephanstrasse 1, Leipzig, D-04103, Germany","institution_ids":["https://openalex.org/I4210130445"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, 100080, P.R.China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103518679","display_name":"D. J. Evans","orcid":null},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"D.J. Evans","raw_affiliation_strings":["\n                   \n               Department of Computing, Norringham Trent University, Nottingham, NG1 4BU, UK","Department of Computing, Norringham Trent University, Nottingham, NG1 4BU, UK"],"affiliations":[{"raw_affiliation_string":"\n                   \n               Department of Computing, Norringham Trent University, Nottingham, NG1 4BU, UK","institution_ids":["https://openalex.org/I52590639"]},{"raw_affiliation_string":"Department of Computing, Norringham Trent University, Nottingham, NG1 4BU, UK","institution_ids":["https://openalex.org/I52590639"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103518679","https://openalex.org/A5109997206"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879","https://openalex.org/I4210112150","https://openalex.org/I4210130445","https://openalex.org/I52590639"],"apc_list":null,"apc_paid":null,"fwci":0.7221,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78236639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"76","issue":"3","first_page":"279","last_page":"295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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":0.9994000196456909,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"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/image-restoration","display_name":"Image restoration","score":0.795639157295227},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6722869277000427},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6495523452758789},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.6274092197418213},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6017007827758789},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.593855619430542},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5760170817375183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4790562391281128},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4485701620578766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4478262662887573},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42304667830467224},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42114168405532837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40476107597351074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33517932891845703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3260129988193512},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2707776427268982}],"concepts":[{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.795639157295227},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6722869277000427},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6495523452758789},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.6274092197418213},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6017007827758789},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.593855619430542},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5760170817375183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4790562391281128},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4485701620578766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4478262662887573},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42304667830467224},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42114168405532837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40476107597351074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33517932891845703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3260129988193512},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2707776427268982},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00207160108805025","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207160108805025","pdf_url":null,"source":{"id":"https://openalex.org/S124867444","display_name":"International Journal of Computer Mathematics","issn_l":"0020-7160","issn":["0020-7160","1026-7425","1029-0265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7300000190734863,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1507028917","https://openalex.org/W1550423905","https://openalex.org/W1554544485","https://openalex.org/W2020999234","https://openalex.org/W2030007476","https://openalex.org/W2048505581","https://openalex.org/W2078187167","https://openalex.org/W2080744942","https://openalex.org/W2082910045","https://openalex.org/W2092069198","https://openalex.org/W2101665488","https://openalex.org/W2117070178","https://openalex.org/W2122165678","https://openalex.org/W2125032480","https://openalex.org/W2138850660","https://openalex.org/W2144756828","https://openalex.org/W2150060382","https://openalex.org/W2154080884","https://openalex.org/W2155235736","https://openalex.org/W2165411585","https://openalex.org/W2171643070","https://openalex.org/W3023540311","https://openalex.org/W4230337913","https://openalex.org/W4249891466","https://openalex.org/W4253934678"],"related_works":["https://openalex.org/W1972096828","https://openalex.org/W2529137940","https://openalex.org/W4302048708","https://openalex.org/W2359913921","https://openalex.org/W4205298958","https://openalex.org/W1981385315","https://openalex.org/W2486440955","https://openalex.org/W2050015493","https://openalex.org/W1996195943","https://openalex.org/W2029348785"],"abstract_inverted_index":{"Abstract":[0],"Image":[1,141],"restoration":[2],"is":[3,20,70,93,117],"an":[4,42],"essential":[5],"preprocessing":[6],"step":[7],"for":[8,61],"many":[9],"image":[10,27,34,43,62],"analysis":[11],"applications.":[12],"For":[13],"this":[14,53,68,91],"issue,":[15],"the":[16,26,32,47,50,73,87,100,104,124,128,154,180,207],"most":[17],"common":[18],"problem":[19],"that":[21,94,114],"some":[22],"interesting":[23,39],"structures":[24,40],"in":[25,41,49,67,90,103,123],"will":[28],"be":[29],"removed":[30],"from":[31],"concerned":[33],"during":[35],"noise":[36,125],"suppression.":[37],"Such":[38],"often":[44],"correspond":[45],"to":[46,71],"discontinuities":[48],"image.":[51],"In":[52],"paper,":[54],"we":[55],"propose":[56],"a":[57],"novel":[58],"efficient":[59],"method":[60,69,116],"restoration.":[63],"The":[64,80],"central":[65],"idea":[66],"combine":[72],"hybrid":[74],"genetic":[75],"algorithm":[76],"with":[77],"adaptive":[78],"pre-conditioning.":[79],"remarkable":[81],"advantage":[82],"of":[83,158,166,170,184,192,196,211,219,223],"our":[84,115],"approach":[85],"over":[86],"existing":[88],"works":[89],"field":[92],"restoring":[95],"corrupted":[96],"images":[97],"and":[98,121,130,136,146,163,168,189,194,216,221],"preserving":[99],"shape":[101],"transitions":[102],"restored":[105],"results":[106],"have":[107],"been":[108],"orchestrated":[109],"very":[110],"well.":[111],"Experiments":[112],"illustrate":[113],"much":[118],"more":[119],"effective":[120],"powerful":[122],"reduction":[126],"than":[127],"Wiener":[129],"median":[131],"filtering":[132],"techniques,":[133],"two":[134],"typical":[135],"widely":[137],"used":[138],"techniques":[139],"Keywords:":[140],"RestorationAdaptive":[142],"Pre-Conditioning":[143],"Genetic":[144],"AlgorithmWiener":[145],"Median":[147],"Filters":[148],"\u2217This":[149,175,202],"work":[150,176,203],"was":[151,177,204],"supported":[152,178,205],"by":[153,179,206],"Natural":[155,181,208],"Science":[156,167,182,193,209,220],"Foundation":[157,183,210],"China,":[159,171,185,197,212,224],"Grant":[160,172,186,198,213,225],"No.":[161,173,187,199,214,226],"69705002,":[162,188,215],"State":[164,190,217],"Commission":[165,191,218],"Technology":[169,195,222],"G1998030503":[174,200,227],"Notes":[201]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}