{"id":"https://openalex.org/W2037841886","doi":"https://doi.org/10.1109/nabic.2009.5393398","title":"An Efficient Fuzzy Possibilistic code book design for Vector Quantization based image compression in the Wavelet Packet Domain","display_name":"An Efficient Fuzzy Possibilistic code book design for Vector Quantization based image compression in the Wavelet Packet Domain","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2037841886","doi":"https://doi.org/10.1109/nabic.2009.5393398","mag":"2037841886"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2009.5393398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2009.5393398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5034515781","display_name":"R. Nagendran","orcid":null},"institutions":[{"id":"https://openalex.org/I4405258780","display_name":"Sri Ramakrishna College of Arts and Science","ror":"https://ror.org/016dvap51","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405258780"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Nagendran","raw_affiliation_strings":["Department of Information Technology, SNR Sons College, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, SNR Sons College, Coimbatore, India","institution_ids":["https://openalex.org/I4405258780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075024969","display_name":"P. Arockia Jansi Rani","orcid":null},"institutions":[{"id":"https://openalex.org/I182997119","display_name":"Manonmaniam Sundaranar University","ror":"https://ror.org/02qgw5c67","country_code":"IN","type":"education","lineage":["https://openalex.org/I182997119"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Arockia Jansi Rani","raw_affiliation_strings":["Department Computer Science & Engineering, Manonmaniam Sundaranar University, Tirunelveli, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Computer Science & Engineering, Manonmaniam Sundaranar University, Tirunelveli, India","institution_ids":["https://openalex.org/I182997119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.08976587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"548","last_page":"552"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9922000169754028,"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":0.991100013256073,"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/vector-quantization","display_name":"Vector quantization","score":0.7041418552398682},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.6251149773597717},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.5944898724555969},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5585619211196899},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5286498665809631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5253435969352722},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5219007134437561},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.49941086769104004},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4814166724681854},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47761648893356323},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.43073350191116333},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4198925495147705},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.41755443811416626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37634485960006714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3460655212402344},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23452097177505493},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.234494149684906}],"concepts":[{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7041418552398682},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.6251149773597717},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.5944898724555969},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5585619211196899},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5286498665809631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5253435969352722},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5219007134437561},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.49941086769104004},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4814166724681854},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47761648893356323},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.43073350191116333},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4198925495147705},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.41755443811416626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37634485960006714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3460655212402344},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23452097177505493},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.234494149684906},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nabic.2009.5393398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2009.5393398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1510019349","https://openalex.org/W1599956316","https://openalex.org/W1634005169","https://openalex.org/W1652299716","https://openalex.org/W1700083040","https://openalex.org/W1983950053","https://openalex.org/W1996129074","https://openalex.org/W2040336387","https://openalex.org/W2063678710","https://openalex.org/W2100921845","https://openalex.org/W2129935012","https://openalex.org/W2134383396","https://openalex.org/W2142276208","https://openalex.org/W2156447271","https://openalex.org/W2159533932","https://openalex.org/W2159967406","https://openalex.org/W2164381747","https://openalex.org/W2167428023","https://openalex.org/W2171464420","https://openalex.org/W2189330674","https://openalex.org/W2383294814","https://openalex.org/W2913399920","https://openalex.org/W4244017338","https://openalex.org/W4285719527","https://openalex.org/W6630439075","https://openalex.org/W6636080342","https://openalex.org/W6637424070"],"related_works":["https://openalex.org/W2352648934","https://openalex.org/W2017514583","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/W2011714844"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"Efficient":[4],"Fuzzy":[5],"Possibilistic":[6],"code":[7,106,124],"book":[8],"design":[9],"for":[10],"Vector":[11],"Quantization":[12],"in":[13,114],"the":[14,26,33,49,61,83,91,98,105,115,123,158,168,174],"Wavelet":[15,18],"Packet":[16,19],"Domain.":[17],"Tree":[20],"(WPT)":[21],"methodology":[22],"is":[23,80,101,120,147],"applied":[24],"to":[25,112],"whole":[27],"image.":[28],"The":[29,65,78,95,144,154],"sub":[30],"blocks":[31],"of":[32,45,52,97,117,126,167],"input":[34],"image":[35,79],"are":[36,58,68,171],"decomposed":[37],"into":[38],"two":[39],"level":[40],"WPT":[41,85],"where":[42],"all":[43],"coefficients":[44,51,67],"LL":[46],"band":[47],"and":[48,74,90,142,164],"approximation":[50],"LH,":[53],"HL":[54],"&":[55],"HH":[56],"bands":[57],"quantized":[59,66],"using":[60,71,82],"proposed":[62,99,145,169],"vector":[63,107,125],"quantizer.":[64],"further":[69],"compressed":[70],"Huffman":[72],"encoder":[73],"then":[75],"transmitted":[76],"across.":[77],"reconstructed":[81],"inverse":[84],"followed":[86],"by":[87,103,136],"index":[88],"reassignment":[89],"subsequent":[92],"decoding":[93],"process.":[94],"efficiency":[96],"work":[100,146,170],"analyzed":[102],"varying":[104],"(cluster)":[108],"size":[109,127],"from":[110],"8":[111,128,130],"512":[113],"order":[116],"2n.":[118],"It":[119],"found":[121],"that":[122,157],"\u00d7":[129],"stands":[131],"as":[132],"a":[133,138],"good":[134],"choice":[135],"maintaining":[137],"compromise":[139],"between":[140],"quality":[141],"compression.":[143],"also":[148],"compared":[149],"with":[150],"other":[151,175],"existing":[152,176],"techniques.":[153,177],"results":[155],"show":[156],"psycho-visual":[159],"fidelity":[160],"criteria":[161],"(both":[162],"subjective":[163],"objective":[165],"measures)":[166],"better":[172],"than":[173],"Codebook":[178]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}