{"id":"https://openalex.org/W1507444457","doi":"https://doi.org/10.1109/ecctd.2005.1523085","title":"Hybrid lifting scheme using discrete-time cellular neural networks for lossless image coding","display_name":"Hybrid lifting scheme using discrete-time cellular neural networks for lossless image coding","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W1507444457","doi":"https://doi.org/10.1109/ecctd.2005.1523085","mag":"1507444457"},"language":"en","primary_location":{"id":"doi:10.1109/ecctd.2005.1523085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecctd.2005.1523085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005.","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/A5044215256","display_name":"Hisashi Aomori","orcid":"https://orcid.org/0000-0002-4934-2824"},"institutions":[{"id":"https://openalex.org/I42999171","display_name":"Sophia University","ror":"https://ror.org/01nckkm68","country_code":"JP","type":"education","lineage":["https://openalex.org/I42999171"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Aomori","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Sophia University, Chiyoda, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Sophia University, Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I42999171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036440155","display_name":"Tsuyoshi Otake","orcid":"https://orcid.org/0000-0002-0721-5034"},"institutions":[{"id":"https://openalex.org/I149481174","display_name":"Tamagawa University","ror":"https://ror.org/05f8a4p63","country_code":"JP","type":"education","lineage":["https://openalex.org/I149481174"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Otake","raw_affiliation_strings":["Department of Media-Network Science, Tamagawa University, Machida, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Media-Network Science, Tamagawa University, Machida, Tokyo, Japan","institution_ids":["https://openalex.org/I149481174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016732558","display_name":"Norikazu Takahashi","orcid":"https://orcid.org/0000-0001-8222-5593"},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"N. Takahashi","raw_affiliation_strings":["IBM Engineering & Technology Services, IBM Japan Limited, Yamato, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Engineering & Technology Services, IBM Japan Limited, Yamato, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101739164","display_name":"Mamoru Tanaka","orcid":"https://orcid.org/0000-0002-9023-7794"},"institutions":[{"id":"https://openalex.org/I42999171","display_name":"Sophia University","ror":"https://ror.org/01nckkm68","country_code":"JP","type":"education","lineage":["https://openalex.org/I42999171"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Tanaka","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Sophia University, Chiyoda, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Sophia University, Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I42999171"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2618,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81178144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"161","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12162","display_name":"Cellular Automata and Applications","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9854999780654907,"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/lossless-compression","display_name":"Lossless compression","score":0.6113563776016235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5613836646080017},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5182759165763855},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4889580011367798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48684829473495483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4727557301521301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3962198793888092},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.30678701400756836},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2564070224761963}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6113563776016235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5613836646080017},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5182759165763855},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4889580011367798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48684829473495483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4727557301521301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3962198793888092},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.30678701400756836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2564070224761963},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecctd.2005.1523085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecctd.2005.1523085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1976045140","https://openalex.org/W2117188745","https://openalex.org/W2129931573","https://openalex.org/W2160121923","https://openalex.org/W2169997788"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W1558425494","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2169871401","https://openalex.org/W3008492011"],"abstract_inverted_index":{"The":[0,36,156],"lifting":[1,19,65,97,127,170],"scheme":[2,66,128],"is":[3,22,47,82,98],"a":[4,62,118,160],"flexible":[5],"method":[6,50,123,135,171],"for":[7,51,73,129],"the":[8,17,26,32,40,44,80,86,93,102,108,111,125,140,168],"construction":[9],"of":[10,39,90,96,114,139,167],"linear":[11,41,103,173],"and":[12,43,92],"nonlinear":[13,18,33,45,87,141],"wavelet":[14],"transforms.":[15],"In":[16,57,77],"scheme,":[20],"it":[21],"difficult":[23],"to":[24,31,106],"design":[25],"optimal":[27,54],"update":[28,94],"filter":[29,42,46,55,105],"corresponding":[30],"prediction":[34],"filter.":[35],"hybrid":[37,64],"use":[38,138],"an":[48,53],"efficient":[49],"obtaining":[52],"pair.":[56],"this":[58],"paper,":[59],"we":[60],"propose":[61],"novel":[63],"using":[67,85,101,153,172],"discrete-time":[68],"cellular":[69],"neural":[70],"networks":[71],"(DT-CNNs)":[72],"lossless":[74,130],"image":[75,81,131,150],"coding.":[76,132],"our":[78,122,134],"method,":[79],"interpolated":[83],"by":[84,100,144],"interpolative":[88,142],"dynamics":[89,143],"DT-CNNs,":[91],"process":[95],"designed":[99],"5-tap":[104],"avoid":[107],"aliasing.":[109],"Since":[110],"output":[112],"function":[113],"DT-CNNs":[115],"works":[116],"as":[117],"multilevel":[119],"quantizing":[120],"function,":[121],"composes":[124],"integer":[126],"Moreover,":[133],"makes":[136],"good":[137],"A-template":[145],"compared":[146,164],"with":[147,165],"conventional":[148,169],"CNN":[149],"coding":[151,162],"methods":[152],"only":[154],"B-template.":[155],"experimental":[157],"results":[158],"show":[159],"better":[161],"performance":[163],"those":[166],"filters.":[174]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
