{"id":"https://openalex.org/W3212716891","doi":"https://doi.org/10.1155/2021/5184688","title":"Research on Image Denoising and Super-Resolution Reconstruction Technology of Multiscale-Fusion Images","display_name":"Research on Image Denoising and Super-Resolution Reconstruction Technology of Multiscale-Fusion Images","publication_year":2021,"publication_date":"2021-11-05","ids":{"openalex":"https://openalex.org/W3212716891","doi":"https://doi.org/10.1155/2021/5184688","mag":"3212716891"},"language":"en","primary_location":{"id":"doi:10.1155/2021/5184688","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5184688","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/5184688.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/misy/2021/5184688.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062664303","display_name":"Size Li","orcid":"https://orcid.org/0000-0002-8480-2515"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Size Li","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China"],"raw_orcid":"https://orcid.org/0000-0002-8480-2515","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018829722","display_name":"Pengjiang Qian","orcid":"https://orcid.org/0000-0002-5596-3694"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengjiang Qian","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China"],"raw_orcid":"https://orcid.org/0000-0002-5596-3694","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327609","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0003-3636-6453"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025902216","display_name":"A. Chen","orcid":"https://orcid.org/0000-0001-5391-9174"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiguo Chen","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China"],"raw_orcid":"https://orcid.org/0000-0001-5391-9174","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018829722"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.453,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.60831325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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":0.9940000176429749,"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/upsampling","display_name":"Upsampling","score":0.8888622522354126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7981021404266357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7287206053733826},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.594231903553009},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5626074075698853},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5318040251731873},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5245316624641418},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.48173168301582336},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4785226583480835},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.45462632179260254},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4404626786708832},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4177750051021576},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.38833415508270264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34824955463409424},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.2914472222328186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.181991845369339}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8888622522354126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7981021404266357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7287206053733826},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.594231903553009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5626074075698853},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5318040251731873},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5245316624641418},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.48173168301582336},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4785226583480835},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.45462632179260254},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4404626786708832},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4177750051021576},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.38833415508270264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34824955463409424},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.2914472222328186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.181991845369339}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/5184688","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5184688","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/5184688.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d0e7158d6ed340ea8169fdb17d50c3ec","is_oa":true,"landing_page_url":"https://doaj.org/article/d0e7158d6ed340ea8169fdb17d50c3ec","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/5184688","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5184688","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/5184688.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2532572552","display_name":"\u591a\u6a21\u6001\u533b\u5b66\u6210\u50cf\u5f15\u5bfc\u7cbe\u51c6\u653e\u7597\u4e2d\u7684\u5feb\u901f\u77e5\u8bc6\u534f\u540c\u4e0e\u8de8\u57df\u77e5\u8bc6\u501f\u9274\u5b66\u4e60\u65b9\u6cd5\u7814\u7a76\u53ca\u9a8c\u8bc1","funder_award_id":"61772241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2785245412","display_name":null,"funder_award_id":"BE2019631","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G513794406","display_name":null,"funder_award_id":"61772241","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G5479033401","display_name":null,"funder_award_id":"62172192","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G5564066934","display_name":null,"funder_award_id":"XYDXX-127","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G5574873895","display_name":null,"funder_award_id":"BE2019631","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7101995753","display_name":null,"funder_award_id":"XYDXX-127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7934227435","display_name":null,"funder_award_id":"62172192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320326182","display_name":"Six Talent Peaks Project in Jiangsu Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3212716891.pdf","grobid_xml":"https://content.openalex.org/works/W3212716891.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1565746575","https://openalex.org/W1972292376","https://openalex.org/W2056370875","https://openalex.org/W2067042811","https://openalex.org/W2101700394","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2145367339","https://openalex.org/W2169284845","https://openalex.org/W2194775991","https://openalex.org/W2507211415","https://openalex.org/W2508457857","https://openalex.org/W2727642811","https://openalex.org/W2764207251","https://openalex.org/W2798278116","https://openalex.org/W2832157980","https://openalex.org/W2903204032","https://openalex.org/W2946567648","https://openalex.org/W2962767526","https://openalex.org/W2963725279","https://openalex.org/W2964735241","https://openalex.org/W2966620583","https://openalex.org/W2967023393","https://openalex.org/W2970318705","https://openalex.org/W2981934860","https://openalex.org/W2985606909","https://openalex.org/W2986057551","https://openalex.org/W3006286620","https://openalex.org/W3009265819","https://openalex.org/W3011240817","https://openalex.org/W3023064088","https://openalex.org/W3034504121","https://openalex.org/W3034902810","https://openalex.org/W3047483306","https://openalex.org/W3048092834","https://openalex.org/W3104725225","https://openalex.org/W3118519535","https://openalex.org/W3149046366","https://openalex.org/W6753541608","https://openalex.org/W6777028348"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W4310746709","https://openalex.org/W4386075645","https://openalex.org/W4385574037","https://openalex.org/W4306309518","https://openalex.org/W4286967710"],"abstract_inverted_index":{"Image":[0],"denoising":[1,23,41,82,111],"and":[2,24,30,42,83,112,121,131,135,148,205,212,214],"image":[3,11,22,40,55,81,110,113,140],"super-resolution":[4,25,43,84,114],"reconstruction":[5,26,44,85,115],"are":[6,45],"two":[7,66],"important":[8],"techniques":[9],"for":[10],"processing.":[12,141],"Deep":[13],"learning":[14],"is":[15,58,155],"used":[16],"to":[17,60,63,91,166],"solve":[18],"the":[19,54,93,102,107,117,125,137,145,159,168,178,196,202,216],"problem":[20],"of":[21,109,119,139,157,180],"in":[27,101,171,185],"recent":[28],"years,":[29],"it":[31,57],"usually":[32],"has":[33],"better":[34,221],"results":[35],"than":[36,222],"traditional":[37],"methods.":[38,226],"However,":[39],"studied":[46],"separately":[47],"by":[48,96,144],"state-of-the-art":[49,225],"work.":[50],"To":[51],"optimally":[52],"improve":[53],"resolution,":[56],"necessary":[59],"investigate":[61],"how":[62],"integrate":[64],"these":[65],"techniques.":[67],"In":[68],"this":[69],"paper,":[70],"based":[71],"on":[72],"Generative":[73],"Adversarial":[74],"Network":[75],"(GAN),":[76],"we":[77],"propose":[78],"a":[79,150,223],"novel":[80],"method,":[86],"i.e.,":[87],"multiscale-fusion":[88,151],"GAN":[89],"(MFGAN),":[90],"restore":[92],"images":[94,123,133,208],"interfered":[95],"noises.":[97],"Our":[98],"contributions":[99],"reflect":[100],"following":[103],"three":[104],"aspects:":[105],"(1)":[106],"combination":[108],"simplifies":[116],"process":[118],"upsampling":[120],"downsampling":[122],"during":[124],"model":[126,198],"learning,":[127],"avoiding":[128],"repeated":[129],"input":[130],"output":[132],"operations,":[134],"improves":[136],"efficiency":[138],"(2)":[142],"Motivated":[143],"Inception":[146],"structure":[147],"introducing":[149],"strategy,":[152],"our":[153,186,191],"method":[154,219],"capable":[156],"using":[158],"multiple":[160],"convolution":[161],"kernels":[162],"with":[163,209],"different":[164],"sizes":[165],"expand":[167,201],"receptive":[169,203],"field":[170,204],"parallel.":[172],"(3)":[173],"The":[174],"ablation":[175],"experiments":[176],"verify":[177],"effectiveness":[179],"each":[181],"employed":[182],"loss":[183,188],"measurement":[184],"devised":[187],"function.":[189],"And":[190],"experimental":[192],"studies":[193],"demonstrate":[194],"that":[195,215],"proposed":[197,217],"can":[199],"effectively":[200],"thus":[206],"reconstruct":[207],"high":[210],"resolution":[211],"accuracy":[213],"MFGAN":[218],"performs":[220],"few":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}