{"id":"https://openalex.org/W4242729012","doi":"https://doi.org/10.35940/ijeat.e7400.088619","title":"Modified Firefly Algorithm for Vector Quantization Codebook Design in Image Compression","display_name":"Modified Firefly Algorithm for Vector Quantization Codebook Design in Image Compression","publication_year":2019,"publication_date":"2019-08-27","ids":{"openalex":"https://openalex.org/W4242729012","doi":"https://doi.org/10.35940/ijeat.e7400.088619"},"language":"en","primary_location":{"id":"doi:10.35940/ijeat.e7400.088619","doi":"https://doi.org/10.35940/ijeat.e7400.088619","is_oa":true,"landing_page_url":"https://doi.org/10.35940/ijeat.e7400.088619","pdf_url":null,"source":{"id":"https://openalex.org/S4210210796","display_name":"International Journal of Engineering and Advanced Technology","issn_l":"2249-8958","issn":["2249-8958"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering and Advanced Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.35940/ijeat.e7400.088619","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114626604","display_name":"D. Preethi","orcid":"https://orcid.org/0009-0007-4135-2140","observed_orcids":["https://orcid.org/0009-0007-4135-2140"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ms. D. Preethi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057380617","display_name":"D. Loganathan","orcid":"https://orcid.org/0000-0002-4520-8812","observed_orcids":["https://orcid.org/0000-0002-4520-8812"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dr. D. Loganathan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"6","first_page":"23","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.8101000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.8101000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.18649999797344208,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0012000000569969416,"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/firefly-algorithm","display_name":"firefly algorithm","score":0.9200000166893005},{"id":"https://openalex.org/keywords/teaching-learning-based-optimization","display_name":"teaching-learning-based optimization","score":0.7369999885559082},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"vector quantization","score":0.9039999842643738},{"id":"https://openalex.org/keywords/codebook-design","display_name":"codebook design","score":0.7990000247955322},{"id":"https://openalex.org/keywords/image-compression","display_name":"image compression","score":0.8510000109672546},{"id":"https://openalex.org/keywords/hybrid-metaheuristic-algorithm","display_name":"hybrid metaheuristic","score":0.6600000262260437},{"id":"https://openalex.org/keywords/evolutionary-algorithms","display_name":"evolutionary algorithms","score":0.7049999833106995},{"id":"https://openalex.org/keywords/run-length-encoding","display_name":"run-length encoding","score":0.6679999828338623},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.9990000128746033}],"concepts":[{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.8168219923973083},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.788385808467865},{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.7507205605506897},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.7203344106674194},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6633734107017517},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6246345639228821},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6243912577629089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4544638991355896},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4496498703956604},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4396825134754181},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3969161808490753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3300967812538147},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27103930711746216},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16845765709877014},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.13170462846755981}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.35940/ijeat.e7400.088619","doi":"https://doi.org/10.35940/ijeat.e7400.088619","is_oa":true,"landing_page_url":"https://doi.org/10.35940/ijeat.e7400.088619","pdf_url":null,"source":{"id":"https://openalex.org/S4210210796","display_name":"International Journal of Engineering and Advanced Technology","issn_l":"2249-8958","issn":["2249-8958"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering and Advanced Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.35940/ijeat.e7400.088619","doi":"https://doi.org/10.35940/ijeat.e7400.088619","is_oa":true,"landing_page_url":"https://doi.org/10.35940/ijeat.e7400.088619","pdf_url":null,"source":{"id":"https://openalex.org/S4210210796","display_name":"International Journal of Engineering and Advanced Technology","issn_l":"2249-8958","issn":["2249-8958"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering and Advanced Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2963282174","https://openalex.org/W2087345335","https://openalex.org/W1877545000","https://openalex.org/W3035062063","https://openalex.org/W4387582819","https://openalex.org/W2559926269","https://openalex.org/W3003497710","https://openalex.org/W4220669428","https://openalex.org/W2533758108","https://openalex.org/W2564376186"],"abstract_inverted_index":{"In":[0],"the":[1,4,15,39,49,65,82,90,115,125,153,169,175,186,195,201,208,214,229,306],"recent":[2],"days,":[3],"importance":[5],"of":[6,17,20,41,51,67,84,98,133,155,171,281,286,309],"image":[7,36,62,231,251],"compression":[8,37,63,79,245,252],"techniques":[9],"is":[10,57,70,74,94,105,189,232,267],"exponentially":[11],"increased":[12],"due":[13],"to":[14,24,123,191,193,203,293,298],"generation":[16],"massive":[18],"amount":[19,132],"data":[21,86],"which":[22,93,110],"needs":[23],"be":[25,112],"stored":[26],"or":[27],"transmitted.":[28],"Numerous":[29],"approaches":[30],"have":[31],"been":[32],"presented":[33],"for":[34,152,168,218,228,322],"effective":[35,59],"by":[38,114,242,249,269],"principle":[40],"representing":[42],"images":[43,283],"in":[44,61,129,207,284],"its":[45,271],"compact":[46],"form":[47],"through":[48],"avoidance":[50],"unnecessary":[52],"pixels.":[53],"Vector":[54],"quantization":[55,68,91,102,156],"(VA)":[56],"an":[58,71,75],"method":[60],"and":[64,81,142,158,197,224,258,264,311,317],"construction":[66],"table":[69,103,157],"important":[72,76],"process":[73,246],"task.":[77],"The":[78,101,261,302],"performance":[80,308],"quality":[83],"reconstructed":[85],"are":[87,184,240],"based":[88,144],"on":[89],"table,":[92],"actually":[95],"a":[96,106,130,179,278],"matrix":[97],"64":[99],"integers.":[100],"selection":[104,154,170],"complex":[107],"combinatorial":[108],"problem":[109,180,196],"can":[111],"resolved":[113],"evolutionary":[116],"algorithms":[117],"(EA).":[118],"Presently,":[119],"EA":[120],"became":[121],"famous":[122],"resolve":[124,194],"real":[126,323],"world":[127],"problems":[128],"reasonable":[131],"time.":[134],"This":[135,211],"chapter":[136],"introduces":[137,159],"Firefly":[138,160],"(FF)":[139],"with":[140,161,273],"Teaching":[141],"learning":[143],"optimization":[145],"(TLBO)":[146],"algorithm":[147,151,163,167,177,188,202,212,253,266,276,313,316],"termed":[148,164],"as":[149,165,221,234],"FF-TLBO":[150,263,310],"Tumbling":[162,198],"FF-Tumbling":[166,265,312],"search":[172],"space.":[173,210],"As":[174],"FF":[176,243,275,315],"faces":[178],"when":[181],"brighter":[182],"FFs":[183],"insignificant,":[185],"TLBO":[187],"integrated":[190],"it":[192,319],"efficiently":[199],"train":[200],"explore":[204],"all":[205],"direction":[206],"solution":[209],"determines":[213],"best":[215,223,225],"fit":[216],"value":[217,227],"every":[219],"bock":[220],"local":[222],"fitness":[226],"entire":[230],"considered":[233],"global":[235],"best.":[236],"When":[237],"these":[238],"values":[239],"found":[241],"algorithm,":[244],"takes":[247],"place":[248],"efficient":[250],"like":[254],"Run":[255],"Length":[256],"Encoding":[257],"Huffman":[259],"coding.":[260],"proposed":[262],"evaluated":[268],"comparing":[270],"results":[272,304],"existing":[274],"using":[277],"same":[279],"set":[280],"benchmark":[282],"terms":[285],"Mean":[287],"Square":[288],"Error":[289],"(MSE),":[290],"Peak":[291],"Signal":[292,297],"Noise":[294,299],"Ratio":[295,300],"(PSNR),":[296],"(SNR).":[301],"obtained":[303],"ensure":[305],"superior":[307],"over":[314],"make":[318],"highly":[320],"useful":[321],"time":[324],"applications.":[325]},"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2022-05-12T00:00:00"}
