{"id":"https://openalex.org/W2091025630","doi":"https://doi.org/10.1109/ijcnn.2012.6252404","title":"Lossless image coding by cellular neural networks with backward error propagation learning","display_name":"Lossless image coding by cellular neural networks with backward error propagation learning","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2091025630","doi":"https://doi.org/10.1109/ijcnn.2012.6252404","mag":"2091025630"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","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/A5110766467","display_name":"Keisuke Takizawa","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Takizawa","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Noda, Chiba, Japan","Department of Electrical Engineering, Tokyo University of Science, 2641 Yamazaki Noda-shi, Chiba 278-8510, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Noda, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, 2641 Yamazaki Noda-shi, Chiba 278-8510, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091626275","display_name":"Seiya Takenouchi","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiya Takenouchi","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Noda, Chiba, Japan","Department of Electrical Engineering, Tokyo University of Science, 2641 Yamazaki Noda-shi, Chiba 278-8510, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Noda, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, 2641 Yamazaki Noda-shi, Chiba 278-8510, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044215256","display_name":"Hisashi Aomori","orcid":"https://orcid.org/0000-0002-4934-2824"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hisashi Aomori","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Noda, Chiba, Japan","Department of Electrical Engineering, Tokyo University of Science, 2641 Yamazaki Noda-shi, Chiba 278-8510, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Noda, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, 2641 Yamazaki Noda-shi, Chiba 278-8510, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"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":"Tsuyoshi Otake","raw_affiliation_strings":["Department of Software Science, Tamagawa University, Machida, Tokyo, Japan","Department of Software Science, Tamagawa University, 6-1-1 Tamagawagakuen, Machida, Tokyo, 194-8610 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Science, Tamagawa University, Machida, Tokyo, Japan","institution_ids":["https://openalex.org/I149481174"]},{"raw_affiliation_string":"Department of Software Science, Tamagawa University, 6-1-1 Tamagawagakuen, Machida, Tokyo, 194-8610 Japan","institution_ids":["https://openalex.org/I149481174"]}]},{"author_position":"middle","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":"Mamoru Tanaka","raw_affiliation_strings":["Department of Information and Communication Sciences, Sophia University, Chiyoda, Tokyo, Japan","Department of Information and Communication Sciences, Sophia University, 7-1 Kioi-cho, Chiyoda-ku, Tokyo 102-8554, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Sciences, Sophia University, Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I42999171"]},{"raw_affiliation_string":"Department of Information and Communication Sciences, Sophia University, 7-1 Kioi-cho, Chiyoda-ku, Tokyo 102-8554, Japan","institution_ids":["https://openalex.org/I42999171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102924720","display_name":"Ichiro Matsuda","orcid":"https://orcid.org/0009-0000-4556-975X"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ichiro Matsuda","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Noda, Chiba, Japan","Department of Electrical Engineering, Tokyo University of Science, 2641 Yamazaki Noda-shi, Chiba 278-8510, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Noda, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, 2641 Yamazaki Noda-shi, Chiba 278-8510, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102314788","display_name":"Susumu Itoh","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Susumu Itoh","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Noda, Chiba, Japan","Department of Electrical Engineering, Tokyo University of Science, 2641 Yamazaki Noda-shi, Chiba 278-8510, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Noda, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, 2641 Yamazaki Noda-shi, Chiba 278-8510, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17899193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"j77 a","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9750999808311462,"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/T10320","display_name":"Neural Networks and Applications","score":0.9718999862670898,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.7394042611122131},{"id":"https://openalex.org/keywords/tunstall-coding","display_name":"Tunstall coding","score":0.7105886936187744},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.6994523406028748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6934968829154968},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6663706302642822},{"id":"https://openalex.org/keywords/context-adaptive-variable-length-coding","display_name":"Context-adaptive variable-length coding","score":0.6523488759994507},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.610813319683075},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.600886344909668},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5538161396980286},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.5535634756088257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144281983375549},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5137492418289185},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.49167948961257935},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.48921728134155273},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4666599929332733},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.43785589933395386},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4213358163833618},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.412896990776062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3829967975616455},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.27095186710357666},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22926414012908936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22635746002197266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14718186855316162}],"concepts":[{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.7394042611122131},{"id":"https://openalex.org/C73231260","wikidata":"https://www.wikidata.org/wiki/Q7853376","display_name":"Tunstall coding","level":4,"score":0.7105886936187744},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.6994523406028748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934968829154968},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6663706302642822},{"id":"https://openalex.org/C135534801","wikidata":"https://www.wikidata.org/wiki/Q1128721","display_name":"Context-adaptive variable-length coding","level":4,"score":0.6523488759994507},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.610813319683075},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.600886344909668},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5538161396980286},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.5535634756088257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144281983375549},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5137492418289185},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.49167948961257935},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.48921728134155273},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4666599929332733},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.43785589933395386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4213358163833618},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.412896990776062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3829967975616455},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.27095186710357666},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22926414012908936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22635746002197266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14718186855316162},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","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":4,"referenced_works":["https://openalex.org/W1989148242","https://openalex.org/W2117288934","https://openalex.org/W2155733282","https://openalex.org/W2160121923"],"related_works":["https://openalex.org/W2243473167","https://openalex.org/W2136537500","https://openalex.org/W2106538169","https://openalex.org/W2131702615","https://openalex.org/W2167897635","https://openalex.org/W61332197","https://openalex.org/W2096793045","https://openalex.org/W2155733282","https://openalex.org/W1859419711","https://openalex.org/W2096931589"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"novel":[4],"hierarchical":[5],"lossless":[6],"image":[7],"coding":[8,16,32,59,76,84,105],"scheme":[9,110],"using":[10],"cellular":[11],"neural":[12],"network":[13],"(CNN).":[14],"The":[15,31,44],"architecture":[17],"of":[18,23,34,41,63,78,96,107,115],"proposed":[19,35,109],"method":[20,36],"is":[21,111],"composed":[22],"three":[24],"steps:":[25],"split,":[26],"predict,":[27],"and":[28,67],"entropy":[29],"coding.":[30],"performance":[33],"highly":[37],"depends":[38],"on":[39],"that":[40,102,114],"CNN":[42,65],"predictors.":[43],"resulting":[45],"prediction":[46,79],"errors":[47],"are":[48,70],"encoded":[49],"by":[50,81],"the":[51,57,61,74,82,103,108,116],"adaptive":[52],"arithmetic":[53],"coder.":[54],"To":[55],"achieve":[56],"high":[58],"efficiency,":[60],"type":[62],"space-variant":[64],"templates":[66],"their":[68],"parameters":[69],"optimized":[71],"to":[72],"minimize":[73],"actual":[75],"bits":[77],"residuals":[80],"minimum":[83],"rate":[85],"learning":[86],"with":[87],"backward":[88],"error":[89],"propagation.":[90],"Experimental":[91],"results":[92],"in":[93],"21":[94],"kinds":[95],"standard":[97],"grayscale":[98],"test":[99],"images":[100],"show":[101],"average":[104],"rates":[106],"better":[112],"than":[113],"conventional":[117],"schemes.":[118]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}