{"id":"https://openalex.org/W2135785468","doi":"https://doi.org/10.1109/ijcnn.2003.1223853","title":"Binary image coding using cellular neural networks","display_name":"Binary image coding using cellular neural networks","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2135785468","doi":"https://doi.org/10.1109/ijcnn.2003.1223853","mag":"2135785468"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5036591619","display_name":"D. Feiden","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"D. Feiden","raw_affiliation_strings":["Institute of Applied Physics, Johann Wolfgang Goethe-University Frankfurt am Main, Germany","Inst. of Appl. Phys., Frankfurt Univ., Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Physics, Johann Wolfgang Goethe-University Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I114090438"]},{"raw_affiliation_string":"Inst. of Appl. Phys., Frankfurt Univ., Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012451668","display_name":"Ronald Tetzlaff","orcid":"https://orcid.org/0000-0001-7436-0103"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"R. Tetzlaff","raw_affiliation_strings":["Institute of Applied Physics, Johann Wolfgang Goethe-University Frankfurt am Main, Germany","Inst. of Appl. Phys., Frankfurt Univ., Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Physics, Johann Wolfgang Goethe-University Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I114090438"]},{"raw_affiliation_string":"Inst. of Appl. Phys., Frankfurt Univ., Germany","institution_ids":["https://openalex.org/I114090438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036591619"],"corresponding_institution_ids":["https://openalex.org/I114090438"],"apc_list":null,"apc_paid":null,"fwci":0.4635,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72384425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1149","last_page":"1152"},"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":0.9962000250816345,"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":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.8108047246932983},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.5978174805641174},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5620070099830627},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5555922985076904},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5552569627761841},{"id":"https://openalex.org/keywords/cellular-neural-network","display_name":"Cellular neural network","score":0.5192299485206604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48388728499412537},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47169947624206543},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.466951459646225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4624270498752594},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44989675283432007},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.4479687213897705},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43377697467803955},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34283706545829773},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29965469241142273},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.25845175981521606},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2260553538799286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108047246932983},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.5978174805641174},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5620070099830627},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5555922985076904},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5552569627761841},{"id":"https://openalex.org/C812465","wikidata":"https://www.wikidata.org/wiki/Q5058375","display_name":"Cellular neural network","level":3,"score":0.5192299485206604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48388728499412537},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47169947624206543},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.466951459646225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4624270498752594},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44989675283432007},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4479687213897705},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43377697467803955},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34283706545829773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29965469241142273},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.25845175981521606},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2260553538799286},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1585703276","https://openalex.org/W1843226426","https://openalex.org/W1846793885","https://openalex.org/W2107025852","https://openalex.org/W2160121923"],"related_works":["https://openalex.org/W1902814702","https://openalex.org/W3044766408","https://openalex.org/W2129829718","https://openalex.org/W2138567775","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574"],"abstract_inverted_index":{"Image":[0],"coding":[1,79],"still":[2],"is":[3,38,80,111],"an":[4],"important":[5],"research":[6],"field":[7],"in":[8,23,30,60],"image":[9,16,27,78,106],"processing.":[10,107],"Although":[11],"storage":[12],"capacitates":[13],"increase":[14],"permanently,":[15],"file":[17],"sizes":[18],"are":[19,66,94,100],"of":[20,26,35,53,58,69,77,88,115],"high":[21,56,104],"interest":[22],"the":[24,31,33,42,45,49,54,84],"area":[25],"transmission,":[28],"e.g.":[29],"Internet":[32],"number":[34],"bytes":[36],"transmitted":[37],"directly":[39],"correlated":[40],"to":[41],"costs":[43],"and":[44],"time":[46],"consumption":[47],"for":[48,103],"transmission.":[50],"Furthermore,":[51,108],"because":[52],"extremely":[55],"amount":[57],"data,":[59],"video":[61],"processing":[62],"efficient":[63],"compression":[64],"methods":[65],"always":[67],"point":[68],"interest.":[70],"In":[71],"this":[72],"contribution":[73],"a":[74],"new":[75,86],"approach":[76],"presented,":[81],"which":[82,99],"uses":[83],"relatively":[85],"paradigm":[87],"cellular":[89],"neural":[90,125],"networks":[91],"(CN).":[92],"CNN":[93,116],"massively":[95],"parallel":[96],"computing":[97],"arrays":[98],"perfectly":[101],"suited":[102],"speed":[105],"their":[109],"robustness":[110],"another":[112],"outstanding":[113],"feature":[114],"hardware":[117],"implementations,":[118],"so":[119],"that":[120],"they":[121],"predominate":[122],"many":[123],"other":[124],"network":[126],"implementations.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
