{"id":"https://openalex.org/W4312469830","doi":"https://doi.org/10.1109/access.2022.3230506","title":"A Low- and High-Resolution Terahertz Image Pair Construction Method With Gradient Fusion for Learning-Based Super-Resolution","display_name":"A Low- and High-Resolution Terahertz Image Pair Construction Method With Gradient Fusion for Learning-Based Super-Resolution","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312469830","doi":"https://doi.org/10.1109/access.2022.3230506"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3230506","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3230506","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09992006.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09992006.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056679947","display_name":"Fei Yuan","orcid":"https://orcid.org/0000-0002-4755-9245"},"institutions":[{"id":"https://openalex.org/I4210103524","display_name":"Guangdong Academy of Sciences","ror":"https://ror.org/01g9hkj35","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210103524"]},{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Yuan","raw_affiliation_strings":["Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China","School of Automation, Guangdong Polytechnic Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4755-9245","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I4210142539","https://openalex.org/I4210103524"]},{"raw_affiliation_string":"School of Automation, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004545249","display_name":"Songbin Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103524","display_name":"Guangdong Academy of Sciences","ror":"https://ror.org/01g9hkj35","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210103524"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songbin Zhou","raw_affiliation_strings":["Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4637-2104","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I4210142539","https://openalex.org/I4210103524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111893628","display_name":"Taobo Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103524","display_name":"Guangdong Academy of Sciences","ror":"https://ror.org/01g9hkj35","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210103524"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taobo Cheng","raw_affiliation_strings":["Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1642-2059","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I4210142539","https://openalex.org/I4210103524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020015233","display_name":"Yisen Liu","orcid":"https://orcid.org/0000-0002-4360-2314"},"institutions":[{"id":"https://openalex.org/I4210103524","display_name":"Guangdong Academy of Sciences","ror":"https://ror.org/01g9hkj35","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210103524"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisen Liu","raw_affiliation_strings":["Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I4210142539","https://openalex.org/I4210103524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056679947"],"corresponding_institution_ids":["https://openalex.org/I4210103524","https://openalex.org/I4210122543","https://openalex.org/I4210142539"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8129,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73668175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"132506","last_page":"132514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9952999949455261,"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":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/terahertz-radiation","display_name":"Terahertz radiation","score":0.7032589912414551},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.657832145690918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5840703248977661},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5399937033653259},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5300664305686951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5203530192375183},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5121907591819763},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.481880247592926},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4276667833328247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41153183579444885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36169058084487915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3477477729320526},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.23791176080703735},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21523651480674744},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1404455602169037},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06930014491081238}],"concepts":[{"id":"https://openalex.org/C107816215","wikidata":"https://www.wikidata.org/wiki/Q647887","display_name":"Terahertz radiation","level":2,"score":0.7032589912414551},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.657832145690918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5840703248977661},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5399937033653259},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5300664305686951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5203530192375183},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5121907591819763},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.481880247592926},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4276667833328247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41153183579444885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36169058084487915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3477477729320526},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.23791176080703735},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21523651480674744},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1404455602169037},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06930014491081238},{"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":2,"locations":[{"id":"doi:10.1109/access.2022.3230506","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3230506","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09992006.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:23cf1841287b43f68aba25bb5beeac9c","is_oa":false,"landing_page_url":"https://doaj.org/article/23cf1841287b43f68aba25bb5beeac9c","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 132506-132514 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3230506","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3230506","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09992006.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1296342686","display_name":null,"funder_award_id":"62275056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4184920151","display_name":null,"funder_award_id":"2020M672553","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4686141323","display_name":null,"funder_award_id":"2020B0404010001","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312469830.pdf","grobid_xml":"https://content.openalex.org/works/W4312469830.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2242218935","https://openalex.org/W2899996315","https://openalex.org/W2912509319","https://openalex.org/W2921854027","https://openalex.org/W2927145094","https://openalex.org/W2944736659","https://openalex.org/W2963704386","https://openalex.org/W2965680257","https://openalex.org/W2969360382","https://openalex.org/W2979881819","https://openalex.org/W2988024124","https://openalex.org/W2998448633","https://openalex.org/W3016094611","https://openalex.org/W3032756725","https://openalex.org/W3041716045","https://openalex.org/W3087223302","https://openalex.org/W3093464376","https://openalex.org/W3118004339","https://openalex.org/W3147557070","https://openalex.org/W3157051950","https://openalex.org/W3163274161","https://openalex.org/W3196054190","https://openalex.org/W3199875470","https://openalex.org/W3207085640","https://openalex.org/W3209677426","https://openalex.org/W3210288372","https://openalex.org/W4206210570","https://openalex.org/W6783289623"],"related_works":["https://openalex.org/W2033952283","https://openalex.org/W2762687161","https://openalex.org/W2353254830","https://openalex.org/W2351210568","https://openalex.org/W2028421553","https://openalex.org/W4229079866","https://openalex.org/W2554736181","https://openalex.org/W3004000015","https://openalex.org/W4288598071","https://openalex.org/W2559771220"],"abstract_inverted_index":{"Quality":[0],"and":[1,6,31,74,112,127,138,160,181,195,204,228],"feature":[2],"quantity":[3],"of":[4,17,41,48,96,149,174,213],"low-":[5,30,73,111,227],"high-resolution":[7,32,50,75,113,229],"image":[8,33,77,115,231],"pairs":[9],"for":[10,84,100,217],"training":[11,93],"are":[12,90,165],"directly":[13],"related":[14],"to":[15,23,28,44,58,92,122],"performance":[16,95,148,173,212],"learning-based":[18,85,97,214],"super-resolution":[19,98,215],"methods.":[20],"In":[21,106],"order":[22],"accurately":[24],"increase":[25],"learning":[26],"features":[27],"the":[29,46,67,110,147,172,175,182,201,205,225],"pairs,":[34,94],"we":[35,70,108],"proposed":[36,68,226],"a":[37,49,72],"gradient":[38,53,63,82,88,120,136,142,179,186,236],"degradation":[39],"model":[40],"terahertz(THz)":[42],"images":[43,102,159,219],"describe":[45],"process":[47],"THz":[51,61,76,101,114,162,218,230],"image\u2019s":[52,62],"map":[54],"is":[55],"how":[56],"degraded":[57],"corresponding":[59],"low-resolution":[60],"map.":[64],"And":[65],"with":[66,81,119,135,141,156,178,185,235],"model,":[69],"presented":[71],"pair":[78,116,232],"construction":[79,117,233],"method":[80,118,126,134,140,177,184,203,234],"fusion":[83,121,137,180,187],"super-resolution.":[86],"As":[87],"maps":[89],"fused":[91],"methods":[99,216],"could":[103,220],"be":[104,221],"improved.":[105],"addition,":[107],"applied":[109],"very":[123],"deep":[124],"super-resolution(VDSR)":[125],"zero":[128],"shot":[129],"super-resolution(ZSSR)":[130],"method,":[131,207],"named":[132],"VDSR":[133,176,202],"ZSSR":[139,183,206],"fusion,":[143],"respectively.":[144,208],"To":[145],"evaluate":[146],"these":[150],"two":[151],"improved":[152,222],"methods,":[153],"comparison":[154],"experiments":[155],"passive":[157],"millimeter-wave":[158],"our":[161],"lab":[163],"data":[164],"presented.":[166],"The":[167],"experimental":[168],"results":[169],"show":[170],"that":[171,211],"have":[188],"significant":[189],"improvements":[190],"in":[191],"peak":[192],"signal-to-noise":[193],"ratio":[194],"structural":[196],"similarity":[197],"index":[198],"measure":[199],"than":[200],"It":[209],"indicates":[210],"by":[223],"applying":[224],"fusion.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}