{"id":"https://openalex.org/W3197654770","doi":"https://doi.org/10.3390/s21175973","title":"Mask Attention-SRGAN for Mobile Sensing Networks","display_name":"Mask Attention-SRGAN for Mobile Sensing Networks","publication_year":2021,"publication_date":"2021-09-06","ids":{"openalex":"https://openalex.org/W3197654770","doi":"https://doi.org/10.3390/s21175973","mag":"3197654770","pmid":"https://pubmed.ncbi.nlm.nih.gov/34502863"},"language":"en","primary_location":{"id":"doi:10.3390/s21175973","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175973","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5973/pdf?version=1630929978","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/17/5973/pdf?version=1630929978","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112682959","display_name":"Chi-En Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113837","display_name":"Taiwan Forestry Research Institute","ror":"https://ror.org/01d34a364","country_code":"TW","type":"facility","lineage":["https://openalex.org/I26359584","https://openalex.org/I4210113837"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-En Huang","raw_affiliation_strings":["AI Research Center, Hon Hai Research Institute, Taipei 114699, Taiwan"],"affiliations":[{"raw_affiliation_string":"AI Research Center, Hon Hai Research Institute, Taipei 114699, Taiwan","institution_ids":["https://openalex.org/I4210113837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101559324","display_name":"Ching-Chun Chang","orcid":"https://orcid.org/0000-0003-1002-1756"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ching-Chun Chang","raw_affiliation_strings":["Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048205934","display_name":"Yung\u2010Hui Li","orcid":"https://orcid.org/0000-0002-0475-3689"},"institutions":[{"id":"https://openalex.org/I4210113837","display_name":"Taiwan Forestry Research Institute","ror":"https://ror.org/01d34a364","country_code":"TW","type":"facility","lineage":["https://openalex.org/I26359584","https://openalex.org/I4210113837"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yung-Hui Li","raw_affiliation_strings":["AI Research Center, Hon Hai Research Institute, Taipei 114699, Taiwan"],"affiliations":[{"raw_affiliation_string":"AI Research Center, Hon Hai Research Institute, Taipei 114699, Taiwan","institution_ids":["https://openalex.org/I4210113837"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048205934"],"corresponding_institution_ids":["https://openalex.org/I4210113837"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.1938,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49387299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":"17","first_page":"5973","last_page":"5973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9961000084877014,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/discriminator","display_name":"Discriminator","score":0.8098825812339783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7762284278869629},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7356542348861694},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7295848727226257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6548718214035034},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.53777015209198},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49841809272766113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4761999845504761},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4718860387802124},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4561533033847809},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.437882661819458},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4154267907142639},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0833258330821991}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8098825812339783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7762284278869629},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7356542348861694},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7295848727226257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6548718214035034},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.53777015209198},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49841809272766113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4761999845504761},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4718860387802124},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4561533033847809},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.437882661819458},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4154267907142639},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0833258330821991},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007498","descriptor_name":"Iris","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007498","descriptor_name":"Iris","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007498","descriptor_name":"Iris","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21175973","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175973","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5973/pdf?version=1630929978","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34502863","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34502863","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:692cd3d5138f443ca4ce3f572e92386d","is_oa":true,"landing_page_url":"https://doaj.org/article/692cd3d5138f443ca4ce3f572e92386d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 17, p 5973 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/17/5973/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21175973","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 17; Pages: 5973","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8434631","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8434631","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21175973","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175973","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5973/pdf?version=1630929978","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G6145407109","display_name":null,"funder_award_id":"110-2221-E-008-081","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197654770.pdf","grobid_xml":"https://content.openalex.org/works/W3197654770.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1516512487","https://openalex.org/W1686810756","https://openalex.org/W1834627138","https://openalex.org/W1885185971","https://openalex.org/W1903029394","https://openalex.org/W1974821667","https://openalex.org/W2102796633","https://openalex.org/W2115252128","https://openalex.org/W2151148935","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2331128040","https://openalex.org/W2747898905","https://openalex.org/W2769905613","https://openalex.org/W2780544323","https://openalex.org/W2866634454","https://openalex.org/W2887695188","https://openalex.org/W2891158090","https://openalex.org/W2963150697","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2964949114","https://openalex.org/W2969834519","https://openalex.org/W3000683654","https://openalex.org/W3001992107","https://openalex.org/W3013529009","https://openalex.org/W3131902737","https://openalex.org/W4320013936","https://openalex.org/W6643979851","https://openalex.org/W6677618333"],"related_works":["https://openalex.org/W2018223046","https://openalex.org/W2294693339","https://openalex.org/W1971649232","https://openalex.org/W2573408845","https://openalex.org/W2774310452","https://openalex.org/W231692020","https://openalex.org/W3092387234","https://openalex.org/W2024700913","https://openalex.org/W3217069185","https://openalex.org/W4308928038"],"abstract_inverted_index":{"Biometrics":[0],"has":[1],"been":[2],"shown":[3],"to":[4,45,52,73,103,112,182,186],"be":[5,82],"an":[6,130,171,178],"effective":[7],"solution":[8],"for":[9,56,116],"the":[10,32,38,53,57,63,70,75,94,98,104,107,149,160,165,184,191,201,205,214,219,224,229],"identity":[11],"recognition":[12,49,108,230],"problem,":[13],"and":[14,77,132,204],"iris":[15],"recognition,":[16,21],"as":[17,19],"well":[18],"face":[20],"are":[22],"accurate":[23],"biometric":[24,117],"modalities,":[25],"among":[26],"others.":[27],"The":[28,196,209],"higher":[29],"resolution":[30],"inside":[31,223],"crucial":[33,225],"region":[34,192,226],"reveals":[35],"details":[36,220],"of":[37,97,106,174,193,221],"physiological":[39],"characteristics":[40],"which":[41,100],"provides":[42],"discriminative":[43],"information":[44],"achieve":[46],"extremely":[47],"high":[48,114],"rate.":[50],"Due":[51],"growing":[54],"needs":[55],"IoT":[58,71],"device":[59,72],"in":[60,69,125,153,164],"various":[61],"applications,":[62],"image":[64,79,89,123,143,233],"sensor":[65],"is":[66],"gradually":[67],"integrated":[68],"decrease":[74,105],"cost,":[76],"low-cost":[78,88],"sensors":[80,90,124],"may":[81,91],"preferable":[83],"than":[84],"high-cost":[85,122],"ones.":[86],"However,":[87],"not":[92],"satisfy":[93],"minimum":[95],"requirement":[96],"resolution,":[99],"definitely":[101],"leads":[102],"accuracy.":[109],"Therefore,":[110],"how":[111],"maintain":[113],"accuracy":[115],"systems":[118],"without":[119],"using":[120],"expensive":[121],"mobile":[126],"sensing":[127],"networks":[128],"becomes":[129],"interesting":[131],"important":[133],"issue.":[134],"In":[135],"this":[136],"paper,":[137],"we":[138],"proposed":[139,215],"MA-SRGAN,":[140],"a":[141,175],"single":[142],"super-resolution":[144,234],"(SISR)":[145],"algorithm,":[146],"based":[147],"on":[148,200],"mask-attention":[150],"mechanism":[151],"used":[152],"Generative":[154],"Adversarial":[155],"Network":[156],"(GAN).":[157],"We":[158],"modified":[159],"latest":[161],"state-of-the-art":[162],"(nESRGAN+)":[163],"GAN-based":[166],"SR":[167],"model":[168],"by":[169,227],"adding":[170],"extra":[172],"part":[173],"discriminator":[176],"with":[177],"additional":[179],"loss":[180],"term":[181],"force":[183],"GAN":[185],"pay":[187],"more":[188],"attention":[189],"within":[190],"interest":[194],"(ROI).":[195],"experiments":[197],"were":[198],"performed":[199],"CASIA-Thousand-v4":[202],"dataset":[203],"Celeb":[206],"Attribute":[207],"dataset.":[208],"experimental":[210],"results":[211],"show":[212],"that":[213],"method":[216],"successfully":[217],"learns":[218],"features":[222],"enhancing":[228],"accuracies":[231],"after":[232],"(SR).":[235]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}