{"id":"https://openalex.org/W2141521747","doi":"https://doi.org/10.1109/icassp.1986.1168969","title":"Adaptive discrete cosine transform coding with vector quantization for color images","display_name":"Adaptive discrete cosine transform coding with vector quantization for color images","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2141521747","doi":"https://doi.org/10.1109/icassp.1986.1168969","mag":"2141521747"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1986.1168969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1168969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5069982192","display_name":"Kiyoharu Aizawa","orcid":"https://orcid.org/0000-0003-2146-6275"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"K. Aizawa","raw_affiliation_strings":["Department of Electrical Engineering, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051552158","display_name":"Hiroshi Harashima","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Harashima","raw_affiliation_strings":["Department of Electrical Engineering, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109913116","display_name":"Hiroshi Miyakawa","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Miyakawa","raw_affiliation_strings":["Department of Electrical Engineering, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069982192"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.5875,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.71821632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"985","last_page":"988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":1.0,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9983999729156494,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.9050157070159912},{"id":"https://openalex.org/keywords/modified-discrete-cosine-transform","display_name":"Modified discrete cosine transform","score":0.7456297874450684},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.7156475782394409},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.7035943865776062},{"id":"https://openalex.org/keywords/lapped-transform","display_name":"Lapped transform","score":0.5874871611595154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5759301781654358},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5348225235939026},{"id":"https://openalex.org/keywords/trellis-quantization","display_name":"Trellis quantization","score":0.5237234234809875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5043250322341919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4767545163631439},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4588587284088135},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.41147756576538086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35051649808883667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3300971984863281},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.3047041893005371},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22079628705978394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1873881220817566}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.9050157070159912},{"id":"https://openalex.org/C28726691","wikidata":"https://www.wikidata.org/wiki/Q1268231","display_name":"Modified discrete cosine transform","level":5,"score":0.7456297874450684},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7156475782394409},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.7035943865776062},{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.5874871611595154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5759301781654358},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5348225235939026},{"id":"https://openalex.org/C5317259","wikidata":"https://www.wikidata.org/wiki/Q4462361","display_name":"Trellis quantization","level":5,"score":0.5237234234809875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5043250322341919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4767545163631439},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4588587284088135},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41147756576538086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35051649808883667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3300971984863281},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3047041893005371},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22079628705978394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1873881220817566},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1986.1168969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1168969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"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/W2057517394","https://openalex.org/W2083190247","https://openalex.org/W2089419199","https://openalex.org/W2118274709","https://openalex.org/W2134383396","https://openalex.org/W2147516421","https://openalex.org/W2154555188","https://openalex.org/W2163836730","https://openalex.org/W2312728213","https://openalex.org/W2510864080","https://openalex.org/W2913399920","https://openalex.org/W4244017338"],"related_works":["https://openalex.org/W2978563117","https://openalex.org/W2046080157","https://openalex.org/W2169808749","https://openalex.org/W2138702206","https://openalex.org/W2556691706","https://openalex.org/W2100383613","https://openalex.org/W2112852877","https://openalex.org/W2068397735","https://openalex.org/W2141521747","https://openalex.org/W4232796001"],"abstract_inverted_index":{"A":[0],"new":[1],"vector":[2,36,106],"quantization":[3],"scheme":[4,45,62],"in":[5,99,108],"discrete":[6],"cosine":[7,86],"transform":[8,87],"domain,":[9],"named":[10],"DCT-VQ":[11,78],"and":[12,32,63],"its":[13],"application":[14],"to":[15,49],"color":[16,56],"image":[17,57],"coding":[18,44,88],"are":[19,30],"described.":[20],"In":[21],"this":[22],"scheme,":[23],"DCT-domain":[24],"is":[25,46],"partitioned":[26],"into":[27,96],"vectors":[28,97],"which":[29],"normalized":[31],"vector-quantized":[33],"using":[34],"universal":[35],"quantizers":[37],"designed":[38],"with":[39,89],"multidimensional":[40],"Laplacian":[41],"distribution.":[42],"Adaptive":[43],"also":[47],"introduced":[48],"obtain":[50],"better":[51,80],"reconstruction":[52],"of":[53,94],"images.":[54],"The":[55,72,92],"coder":[58,103],"employs":[59],"the":[60],"above":[61],"encodes":[64],"separately":[65],"three":[66],"components":[67],"converted":[68],"from":[69],"R,G,B":[70],"signals.":[71],"simulations":[73],"have":[74],"shown":[75],"that":[76],"adaptive":[77,85],"exhibits":[79],"performance":[81],"than":[82,104],"a":[83,105],"conventional":[84],"scalar":[90],"quantization.":[91],"decomposition":[93],"DCT-block":[95],"results":[98],"much":[100],"less":[101],"complex":[102],"quantizer":[107],"original":[109],"space":[110],"domain.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}