{"id":"https://openalex.org/W4412524830","doi":"https://doi.org/10.1145/3735014.3735900","title":"Refined Multi-focus Image Fusion Technique Utilizing Pulse Coupled Neural Networks","display_name":"Refined Multi-focus Image Fusion Technique Utilizing Pulse Coupled Neural Networks","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4412524830","doi":"https://doi.org/10.1145/3735014.3735900"},"language":"en","primary_location":{"id":"doi:10.1145/3735014.3735900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3735014.3735900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Big Data Mining and Information Processing","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":null,"display_name":"Li Wang","orcid":"https://orcid.org/0009-0002-4620-4087"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["School of Communication and Electronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0009-0002-4620-4087","affiliations":[{"raw_affiliation_string":"School of Communication and Electronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011797167","display_name":"Fengjuan Miao","orcid":"https://orcid.org/0000-0003-4489-2322"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengjuan Miao","raw_affiliation_strings":["School of Communication and Electronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0000-0003-4489-2322","affiliations":[{"raw_affiliation_string":"School of Communication and Electronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062008708","display_name":"Yanchun Wang","orcid":"https://orcid.org/0009-0004-1720-527X"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchun Wang","raw_affiliation_strings":["School of Communication and Electronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0009-0004-1720-527X","affiliations":[{"raw_affiliation_string":"School of Communication and Electronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108122381","display_name":"Jinsong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Zhang","raw_affiliation_strings":["School of Communication and Electronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0009-0003-9073-084X","affiliations":[{"raw_affiliation_string":"School of Communication and Electronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100685444","display_name":"Jinghui Li","orcid":"https://orcid.org/0000-0002-7283-0674"},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Li","raw_affiliation_strings":["School of Information and Control Engineering, Liaoning Petrochemical University, Fushun, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0002-7283-0674","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Liaoning Petrochemical University, Fushun, Liaoning, China","institution_ids":["https://openalex.org/I166846921"]}]},{"author_position":"last","author":{"id":null,"display_name":"Gong Zhang","orcid":"https://orcid.org/0009-0006-8993-293X"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gong Zhang","raw_affiliation_strings":["School of Communication and Electronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0009-0006-8993-293X","affiliations":[{"raw_affiliation_string":"School of Communication and Electronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, China","institution_ids":["https://openalex.org/I111971639"]}]}],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"210"},"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":0.995199978351593,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6592410802841187},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6388869881629944},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6344000101089478},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6079350709915161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5296124219894409},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5032116770744324},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49504104256629944},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40776491165161133},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11652696132659912},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0898531973361969}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6592410802841187},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6388869881629944},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6344000101089478},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6079350709915161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5296124219894409},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5032116770744324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49504104256629944},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40776491165161133},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11652696132659912},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0898531973361969},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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:10.1145/3735014.3735900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3735014.3735900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Big Data Mining and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1994877111","https://openalex.org/W1997596006","https://openalex.org/W2002285735","https://openalex.org/W2005073548","https://openalex.org/W2009758395","https://openalex.org/W2081195086","https://openalex.org/W2094162745","https://openalex.org/W2109701261","https://openalex.org/W2117853853","https://openalex.org/W2142060261","https://openalex.org/W2146353910","https://openalex.org/W2153777140","https://openalex.org/W2172701981","https://openalex.org/W2384752335","https://openalex.org/W2522703671","https://openalex.org/W2568836762","https://openalex.org/W2767512561","https://openalex.org/W2789565832","https://openalex.org/W2808591023","https://openalex.org/W2971071255","https://openalex.org/W2994551489","https://openalex.org/W3007891240","https://openalex.org/W3040592542","https://openalex.org/W3181367324","https://openalex.org/W4255567990","https://openalex.org/W4403174555","https://openalex.org/W7030566124"],"related_works":["https://openalex.org/W2919827088","https://openalex.org/W2725429296","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Conventional":[0],"multi-focus":[1],"image":[2,12],"fusion":[3,29,71,97,157,164],"techniques":[4],"often":[5],"fail":[6],"to":[7,15,53,131,149],"adequately":[8],"capture":[9],"and":[10,18,63,79,127],"integrate":[11],"characteristics,":[13],"leading":[14],"unclear":[16],"boundaries":[17],"a":[19,27,70,151,162],"decrease":[20],"in":[21],"texture":[22],"clarity.":[23],"This":[24],"research":[25],"introduces":[26],"novel":[28],"technique":[30],"utilizing":[31],"the":[32,50,54,67,86,103,110,121,125,133,139,142,145],"Non-Subsampled":[33],"Shearlet":[34],"Transform":[35],"(NSST)":[36],"alongside":[37],"an":[38,93],"advanced":[39],"Pulse-Coupled":[40],"Neural":[41],"Network":[42],"(PCNN)":[43],"framework.":[44],"The":[45,99,114,135],"first":[46],"phase":[47],"comprises":[48],"applying":[49],"NSST":[51,146],"algorithm":[52],"grayscale":[55],"image,":[56],"thereby":[57],"dividing":[58],"it":[59],"into":[60],"its":[61],"high-frequency":[62],"low-frequency":[64,68],"components.":[65],"For":[66],"component,":[69],"criterion":[72],"is":[73,90,101,118,129],"implemented":[74],"that":[75,102],"combines":[76],"regional":[77,80],"variance":[78],"energy":[81],"through":[82],"their":[83],"product.":[84],"Meanwhile,":[85],"other":[87],"high":[88,163],"sub-band":[89],"processed":[91],"using":[92],"improved":[94],"adaptive":[95],"PCNN":[96,104,126],"method.":[98],"method":[100,160],"parameters":[105],"are":[106],"adaptively":[107],"set":[108],"by":[109],"Grey":[111],"Correlation":[112],"Degree.":[113],"grey":[115],"correlation":[116],"matrix":[117],"used":[119,130],"as":[120],"link":[122],"strength":[123],"of":[124,138,144],"MSMG":[128],"regulate":[132],"PCNN.":[134],"final":[136],"stage":[137],"process":[140],"involves":[141],"application":[143],"inverse":[147],"transform":[148],"obtain":[150],"fused":[152],"image.":[153],"Compared":[154],"with":[155],"alternative":[156],"methods,":[158],"this":[159],"has":[161],"evaluation":[165],"index,":[166],"clear":[167],"images.":[168]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
