{"id":"https://openalex.org/W1985588140","doi":"https://doi.org/10.1080/01969720802069906","title":"HEURISTIC PARTICLE SWARM OPTIMIZATION LEARNING-BASED IMAGE COMPRESSION SYSTEM","display_name":"HEURISTIC PARTICLE SWARM OPTIMIZATION LEARNING-BASED IMAGE COMPRESSION SYSTEM","publication_year":2008,"publication_date":"2008-06-04","ids":{"openalex":"https://openalex.org/W1985588140","doi":"https://doi.org/10.1080/01969720802069906","mag":"1985588140"},"language":"en","primary_location":{"id":"doi:10.1080/01969720802069906","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720802069906","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"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":"Cybernetics and Systems","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/A5100302122","display_name":"Hsuan-Ming Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I16590763","display_name":"National Quemoy University","ror":"https://ror.org/0370v7d46","country_code":"TW","type":"education","lineage":["https://openalex.org/I16590763"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsuan-Ming Feng","raw_affiliation_strings":["\n                   \n               Department of Computer Science and Information Engineering, National Kinmen Institute of Technology, Taiwan, ROC","Department of Computer Science and Information Engineering, National Kinmen Institute of Technology, Taiwan, ROC#TAB#"],"affiliations":[{"raw_affiliation_string":"\n                   \n               Department of Computer Science and Information Engineering, National Kinmen Institute of Technology, Taiwan, ROC","institution_ids":["https://openalex.org/I16590763"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Kinmen Institute of Technology, Taiwan, ROC#TAB#","institution_ids":["https://openalex.org/I16590763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757468","display_name":"Ching\u2010Yi Chen","orcid":"https://orcid.org/0000-0001-6103-9468"},"institutions":[{"id":"https://openalex.org/I192703390","display_name":"Ming Chuan University","ror":"https://ror.org/02pgvzy25","country_code":"TW","type":"education","lineage":["https://openalex.org/I192703390"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Yi Chen","raw_affiliation_strings":["\n                   \n               Department of Information and Telecommunications Engineering, Ming Chuan University, Gui-Shan District, Taoyuan County, Taiwan, ROC","Department of Information and Telecommunications Engineering, Ming Chuan University, Gui-Shan District, Taoyuan County, Taiwan, ROC#TAB#"],"affiliations":[{"raw_affiliation_string":"\n                   \n               Department of Information and Telecommunications Engineering, Ming Chuan University, Gui-Shan District, Taoyuan County, Taiwan, ROC","institution_ids":["https://openalex.org/I192703390"]},{"raw_affiliation_string":"Department of Information and Telecommunications Engineering, Ming Chuan University, Gui-Shan District, Taoyuan County, Taiwan, ROC#TAB#","institution_ids":["https://openalex.org/I192703390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017921700","display_name":"Fun Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fun Ye","raw_affiliation_strings":["\n                   \n               Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan, ROC","Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"\n                   \n               Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan, ROC","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan, ROC","institution_ids":["https://openalex.org/I107470533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100302122"],"corresponding_institution_ids":["https://openalex.org/I16590763"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06433843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"39","issue":"5","first_page":"520","last_page":"537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10901","display_name":"Advanced Data Compression 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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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":0.9966999888420105,"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/codebook","display_name":"Codebook","score":0.8143389225006104},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6750932931900024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6395450234413147},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5435476303100586},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4769150912761688},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4554474353790283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4270954430103302},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.42414969205856323},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.4197115898132324},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3306083679199219},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2574756443500519},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25690245628356934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23314866423606873}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8143389225006104},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6750932931900024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6395450234413147},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5435476303100586},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4769150912761688},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4554474353790283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4270954430103302},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.42414969205856323},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.4197115898132324},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3306083679199219},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2574756443500519},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25690245628356934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23314866423606873}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01969720802069906","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720802069906","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"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":"Cybernetics and Systems","raw_type":"journal-article"},{"id":"pmh:oai:tkuir.lib.tku.edu.tw:987654321/60943","is_oa":false,"landing_page_url":"https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/60943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1634005169","https://openalex.org/W1968940625","https://openalex.org/W2049348084","https://openalex.org/W2086702001","https://openalex.org/W2092977764","https://openalex.org/W2109667412","https://openalex.org/W2134383396","https://openalex.org/W2135505249","https://openalex.org/W2152195021","https://openalex.org/W2168055737","https://openalex.org/W2912724618","https://openalex.org/W6758817073"],"related_works":["https://openalex.org/W2017514583","https://openalex.org/W2352648934","https://openalex.org/W2391875658","https://openalex.org/W2100120615","https://openalex.org/W1929869830","https://openalex.org/W2017401491","https://openalex.org/W2387054321","https://openalex.org/W2158612577","https://openalex.org/W2148772884","https://openalex.org/W1681061148"],"abstract_inverted_index":{"Traditional":[0],"LBG":[1,167,202],"algorithm":[2,195],"is":[3,20,62,79,132,155],"a":[4,33],"pure":[5],"iterative":[6],"optimization":[7,53,77],"procedure":[8],"to":[9,26,81,134,158,175],"achieve":[10,136],"the":[11,28,51,55,59,83,92,98,101,104,109,117,122,128,137,143,148,160,163,177,192,197,205],"vector":[12],"quantization":[13],"(VQ)":[14],"codebook,":[15],"where":[16],"an":[17,68],"initial":[18,60],"codebook":[19,61,85],"continually":[21],"refined":[22],"at":[23],"every":[24],"iteration":[25],"reduce":[27],"distortion":[29],"between":[30],"code-vectors":[31],"and":[32,168,187],"given":[34],"training":[35],"data":[36],"set.":[37],"However,":[38],"such":[39],"interactive":[40],"type":[41,182],"learning":[42,71,114,119,146,165,170,194],"algorithms":[43],"will":[44],"easily":[45],"direct":[46],"final":[47],"results":[48],"converging":[49],"toward":[50],"local":[52],"while":[54],"high":[56],"quality":[57],"of":[58,86,100,127,162,207],"not":[63],"available.":[64],"In":[65,189],"this":[66],"article,":[67],"efficient":[69],"heuristic-based":[70],"method,":[72],"called":[73],"novel":[74],"particle":[75],"swarm":[76],"(NPSO),":[78],"proposed":[80,133,144],"design":[82],"proper":[84],"VQ":[87],"scheme":[88],"that":[89],"can":[90],"develop":[91],"image":[93,149,209],"compression":[94,210],"system.":[95,211],"To":[96],"improve":[97],"performance":[99,179,199],"basic":[102],"PSO,":[103],"centroid":[105,129],"updating":[106,130],"machine":[107,131],"applies":[108],"one":[110],"step-size":[111],"gradient":[112],"descent":[113],"step":[115],"in":[116,180,204],"heuristic":[118],"procedure.":[120],"Additionally,":[121],"presented":[123],"NPSO":[124,145,164,169,193],"with":[125,150],"advantages":[126],"quickly":[135],"near-optimal":[138],"reconstructive":[139],"image.":[140],"For":[141],"demonstrating":[142],"scheme,":[147],"several":[151,181],"horizontal":[152],"grey":[153],"bars":[154],"first":[156],"applied":[157,174],"present":[159],"efficiency":[161],"mechanism.":[166],"methods":[171,203],"are":[172],"also":[173],"test":[176],"reconstructing":[178],"images":[183],"\u201cLena,\u201d":[184],"\u201cAirplane,\u201d":[185],"\u201cCameraman\u201d,":[186],"\u201cpeppers.\u201d":[188],"our":[190],"experiments,":[191],"provides":[196],"higher":[198],"than":[200],"conventional":[201],"application":[206],"building":[208]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
