{"id":"https://openalex.org/W2536061438","doi":"https://doi.org/10.1109/fskd.2016.7603244","title":"A multi-focus image fusion algorithm using modified adaptive PCNN model","display_name":"A multi-focus image fusion algorithm using modified adaptive PCNN model","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2536061438","doi":"https://doi.org/10.1109/fskd.2016.7603244","mag":"2536061438"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2016.7603244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5100609103","display_name":"Yongxing Jia","orcid":"https://orcid.org/0000-0001-8071-7375"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongxing Jia","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112317429","display_name":"Chuanzhen Rong","orcid":"https://orcid.org/0009-0000-8941-1145"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanzhen Rong","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681379","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0002-9378-2245"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041988267","display_name":"Ying Zhu","orcid":"https://orcid.org/0000-0002-5708-3252"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhu","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101882997","display_name":"Yu Yang","orcid":"https://orcid.org/0000-0002-6360-7323"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100609103"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":0.323,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66234139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"19","issue":null,"first_page":"612","last_page":"617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.989799976348877,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7354574203491211},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.7156271934509277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105294466018677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6449770927429199},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6069201231002808},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5473480820655823},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.526585042476654},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4743936061859131},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44071513414382935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3448893427848816},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3211890161037445}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7354574203491211},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7156271934509277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105294466018677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6449770927429199},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6069201231002808},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5473480820655823},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.526585042476654},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4743936061859131},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44071513414382935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3448893427848816},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3211890161037445},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/fskd.2016.7603244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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":13,"referenced_works":["https://openalex.org/W1768150715","https://openalex.org/W1964641132","https://openalex.org/W1994877111","https://openalex.org/W2005073548","https://openalex.org/W2009272393","https://openalex.org/W2022653920","https://openalex.org/W2029739440","https://openalex.org/W2039520532","https://openalex.org/W2106002835","https://openalex.org/W2133665775","https://openalex.org/W2146351185","https://openalex.org/W2149959126","https://openalex.org/W2392812855"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2919827088","https://openalex.org/W3206716821","https://openalex.org/W2725429296","https://openalex.org/W2373946551","https://openalex.org/W2032636564","https://openalex.org/W2350275110","https://openalex.org/W2381578981"],"abstract_inverted_index":{"Image":[0],"fusion":[1,29,182,199],"is":[2,37,62,193],"the":[3,16,54,66,78,95,99,104,110,119,128,132,146,150,156,161,165,167,180,190,196],"technology":[4],"that":[5,60,189],"combines":[6],"more":[7],"than":[8],"one":[9],"images":[10,86,151],"into":[11,89],"an":[12,113],"image,":[13],"to":[14,154,195],"lay":[15],"foundation":[17],"for":[18,65],"further":[19],"image":[20,28,69,81,100,120,158,169,198],"processing":[21],"tasks.":[22],"The":[23,83,136],"paper":[24],"proposed":[25,191],"a":[26],"novel":[27],"framework":[30],"based":[31],"on":[32],"improved":[33,114],"adaptive":[34],"PCNN.":[35],"PCNN":[36,92,133,143],"evolved":[38],"from":[39],"mammal's":[40],"visual":[41],"cortex":[42],"neuron":[43,130],"model,":[44],"and":[45,51,71,94,124,145,179,205],"characterized":[46],"by":[47,159,172,174],"its":[48],"pulse":[49],"synchronization":[50],"acquisition":[52],"of":[53,68,80,98,107,127,131,149,203],"neurons.":[55],"It":[56],"has":[57,73],"been":[58,74],"proved":[59],"it":[61,72],"very":[63],"suitable":[64],"field":[67,79],"processing,":[70],"successfully":[75],"applied":[76],"in":[77,201],"fusion.":[82],"two":[84,90],"source":[85],"were":[87,152],"input":[88],"parallel":[91],"networks,":[93],"gray":[96],"value":[97],"was":[101,116,134,170,184],"used":[102],"as":[103,118],"external":[105],"stimuli":[106],"PCNN;":[108],"At":[109],"same":[111],"time,":[112],"Sum-modified-laplacian":[115],"selected":[117,153],"focus":[121],"evaluation":[122,207],"fuction,":[123],"linking":[125],"strength":[126],"corresponding":[129],"calculated.":[135],"ignition":[137,162],"map":[138],"could":[139],"be":[140],"obtained":[141],"after":[142],"ignition,":[144],"clearer":[147],"part":[148],"generate":[155],"fused":[157,168],"comparing":[160],"map.":[163],"In":[164],"end,":[166],"generated":[171],"pixel":[173,175],"window-based":[176],"consistency":[177],"verification,":[178],"final":[181],"result":[183],"obtained.":[185],"Experimental":[186],"results":[187],"show":[188],"method":[192],"superior":[194],"traditional":[197],"methods":[200],"terms":[202],"subjective":[204],"objective":[206],"criteria.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
