{"id":"https://openalex.org/W1991848661","doi":"https://doi.org/10.1109/icip.2005.1530009","title":"An adaptive method for image filtering with pulse-coupled neural networks","display_name":"An adaptive method for image filtering with pulse-coupled neural networks","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1991848661","doi":"https://doi.org/10.1109/icip.2005.1530009","mag":"1991848661"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1530009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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/A5100618936","display_name":"Junying Zhang","orcid":"https://orcid.org/0000-0002-7511-0277"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junying Zhang","raw_affiliation_strings":["Electronics Engineering Research Institute, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Engineering Research Institute, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001760074","display_name":"Jiyang Dong","orcid":"https://orcid.org/0000-0002-1064-6548"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyang Dong","raw_affiliation_strings":["Electronics Engineering Research Institute, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Engineering Research Institute, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080866569","display_name":"Meihong Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meihong Shi","raw_affiliation_strings":["The School of Computer Science, Xi''an Science and Technology University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Computer Science, Xi''an Science and Technology University, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"II","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7450630068778992},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7310968041419983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6864110827445984},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6161906719207764},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5988678932189941},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5886796712875366},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5683037042617798},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5423697829246521},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5307381749153137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5265427231788635},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4851137399673462},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.419243186712265},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33606117963790894}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7450630068778992},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7310968041419983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6864110827445984},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6161906719207764},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5988678932189941},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5886796712875366},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5683037042617798},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5423697829246521},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5307381749153137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5265427231788635},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4851137399673462},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.419243186712265},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33606117963790894},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2005.1530009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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":5,"referenced_works":["https://openalex.org/W1997191243","https://openalex.org/W2037730376","https://openalex.org/W2092002401","https://openalex.org/W2162276649","https://openalex.org/W2167707673"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W2106540031","https://openalex.org/W2047970610","https://openalex.org/W1982025852"],"abstract_inverted_index":{"Pulse":[0],"coupled":[1],"neural":[2],"network":[3],"(PCNN)":[4],"has":[5,107],"a":[6,41,88],"specific":[7],"feature":[8,38],"that":[9,36],"the":[10,49,66,77,80,91,122,136,141],"fire":[11,21],"of":[12,79,87,135],"one":[13],"neuron":[14,19,89],"can":[15],"capture":[16],"its":[17],"adjacent":[18],"to":[20,23],"due":[22],"their":[24],"spatial":[25],"proximity":[26],"and":[27,55,72,98,113,133],"intensity":[28],"similarity.":[29],"In":[30],"this":[31,37],"paper,":[32],"it":[33],"is":[34,40,51,82,93],"indicated":[35],"itself":[39],"very":[42],"good":[43],"mechanism":[44],"for":[45,95,110,117,140],"image":[46,50,102,106],"filtering":[47,62,125],"when":[48],"damaged":[52],"with":[53,121],"pet":[54],"salt":[56],"type":[57],"noise":[58,143],"(PASN).":[59],"An":[60],"adaptive":[61],"method,":[63,138],"in":[64,90],"which":[65],"noisy":[67,111],"pixels":[68,112],"are":[69],"first":[70],"located":[71],"then":[73],"filtered":[74,105],"based":[75],"on":[76],"output":[78],"PCNN":[81,92],"presented.":[83],"The":[84,104],"threshold":[85],"function":[86],"designed":[94],"random":[96],"PASN":[97,100],"extreme":[99],"contaminated":[101,144],"respectively.":[103],"no":[108],"distortion":[109],"only":[114],"less":[115],"mistiness":[116],"non-noisy":[118],"pixels,":[119],"compared":[120],"conventional":[123],"window-based":[124],"method.":[126],"Excellent":[127],"experimental":[128],"results":[129],"show":[130],"great":[131],"effectiveness":[132],"efficiency":[134],"proposed":[137],"especially":[139],"heavily":[142],"images.":[145]},"counts_by_year":[{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}