{"id":"https://openalex.org/W3170621526","doi":"https://doi.org/10.3390/s21124109","title":"Research on Blind Super-Resolution Technology for Infrared Images of Power Equipment Based on Compressed Sensing Theory","display_name":"Research on Blind Super-Resolution Technology for Infrared Images of Power Equipment Based on Compressed Sensing Theory","publication_year":2021,"publication_date":"2021-06-15","ids":{"openalex":"https://openalex.org/W3170621526","doi":"https://doi.org/10.3390/s21124109","mag":"3170621526","pmid":"https://pubmed.ncbi.nlm.nih.gov/34203747"},"language":"en","primary_location":{"id":"doi:10.3390/s21124109","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21124109","pdf_url":"https://www.mdpi.com/1424-8220/21/12/4109/pdf?version=1623908181","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/1424-8220/21/12/4109/pdf?version=1623908181","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100733310","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-8843-8685"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102819037","display_name":"Lingjie Wang","orcid":"https://orcid.org/0000-0003-1003-3300"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingjie Wang","raw_affiliation_strings":["School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061933721","display_name":"Bingcong Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingcong Liu","raw_affiliation_strings":["School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041106963","display_name":"Hongshan Zhao","orcid":"https://orcid.org/0000-0002-5439-3546"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongshan Zhao","raw_affiliation_strings":["School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102819037"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.4849,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64408722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"21","issue":"12","first_page":"4109","last_page":"4109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980000257492065,"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":0.9979000091552734,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7886354923248291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5937797427177429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.560871422290802},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5469690561294556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5169022083282471},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.4732162058353424},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.42302224040031433},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4156866669654846},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40359944105148315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26820051670074463}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7886354923248291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5937797427177429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.560871422290802},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5469690561294556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5169022083282471},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4732162058353424},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.42302224040031433},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4156866669654846},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40359944105148315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26820051670074463},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s21124109","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21124109","pdf_url":"https://www.mdpi.com/1424-8220/21/12/4109/pdf?version=1623908181","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:34203747","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34203747","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:971f22b903564ffc8d8642373ce804b2","is_oa":true,"landing_page_url":"https://doaj.org/article/971f22b903564ffc8d8642373ce804b2","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":"Sensors, Vol 21, Iss 12, p 4109 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/12/4109/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21124109","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 12; Pages: 4109","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8232595","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8232595","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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/s21124109","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21124109","pdf_url":"https://www.mdpi.com/1424-8220/21/12/4109/pdf?version=1623908181","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":[],"awards":[{"id":"https://openalex.org/G2324654922","display_name":null,"funder_award_id":"51807063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7689698097","display_name":null,"funder_award_id":"2019MS081","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3170621526.pdf","grobid_xml":"https://content.openalex.org/works/W3170621526.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1975347900","https://openalex.org/W1976730913","https://openalex.org/W1978970275","https://openalex.org/W2006262236","https://openalex.org/W2015374556","https://openalex.org/W2015418199","https://openalex.org/W2028790650","https://openalex.org/W2046828849","https://openalex.org/W2061052400","https://openalex.org/W2068859154","https://openalex.org/W2070881856","https://openalex.org/W2088254198","https://openalex.org/W2091494211","https://openalex.org/W2097074225","https://openalex.org/W2126252886","https://openalex.org/W2146782367","https://openalex.org/W2147298660","https://openalex.org/W2157494358","https://openalex.org/W2161516371","https://openalex.org/W2167137033","https://openalex.org/W2167191464","https://openalex.org/W2167307343","https://openalex.org/W2273553327","https://openalex.org/W2292140415","https://openalex.org/W2294970404","https://openalex.org/W2296616510","https://openalex.org/W2331376995","https://openalex.org/W2474628748","https://openalex.org/W2740543610","https://openalex.org/W2808521801","https://openalex.org/W2906998510","https://openalex.org/W2918420994","https://openalex.org/W2959781444","https://openalex.org/W3026562912","https://openalex.org/W3129376454","https://openalex.org/W3178615792","https://openalex.org/W4250955649","https://openalex.org/W6681807782","https://openalex.org/W6696916440"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2810730439","https://openalex.org/W1976264255","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041"],"abstract_inverted_index":{"Infrared":[0],"images":[1],"of":[2,22,31,44,96,166,229,239,253,259,266,281],"power":[3,10],"equipment":[4,11],"play":[5],"an":[6,49,61],"important":[7],"role":[8],"in":[9,28,118,268],"status":[12],"monitoring":[13],"and":[14,25,60,130,146,163,184,196],"fault":[15],"identification.":[16],"Aiming":[17],"to":[18,92,113,159,263],"resolve":[19],"the":[20,29,42,75,88,94,97,104,115,119,124,132,137,140,148,154,160,164,167,175,191,209,212,217,221,227,230,236,249,254,264,269,279],"problems":[21],"low":[23],"resolution":[24],"insufficient":[26],"clarity":[27],"application":[30],"infrared":[32,63],"images,":[33],"we":[34,80,107,179],"propose":[35,81],"a":[36,82,109,181,185,198,243],"blind":[37,283],"super-resolution":[38,65,176,237,257,284],"algorithm":[39,67,86,232],"based":[40,68],"on":[41,69],"theory":[43,59],"compressed":[45,57,71,89,193,240,260],"sensing.":[46],"It":[47],"includes":[48],"improved":[50,62],"blur":[51,76,83,98,168,182],"kernel":[52,77,84,99,169],"estimation":[53,78,85,95,105,170],"method":[54,258],"combined":[55],"with":[56,242],"sensing":[58,72,90,194,241,261],"image":[64,117,133,151,222],"reconstruction":[66,177,250],"block":[70,218],"theory.":[73],"In":[74,103,225],"method,":[79],"under":[87],"framework":[91],"realize":[93],"from":[100],"low-resolution":[101],"images.":[102],"process,":[106],"define":[108],"new":[110],"Lw":[111,138],"norm":[112],"constrain":[114],"gradient":[116],"iterative":[120],"process":[121,235],"by":[122,153,216],"analyzing":[123],"significant":[125],"edge":[126],"intensity":[127],"changes":[128],"before":[129],"after":[131],"is":[134,223],"blurred.":[135],"With":[136],"norm,":[139],"salient":[141],"edges":[142],"can":[143,156,171,233],"be":[144,172],"selected":[145],"enhanced,":[147],"intermediate":[149],"latent":[150],"generated":[152],"iteration":[155,203],"move":[157],"closer":[158],"clear":[161],"image,":[162],"accuracy":[165],"improved.":[173],"For":[174],"algorithm,":[178],"introduce":[180],"matrix":[183],"regular":[186],"total":[187,200],"variation":[188,201],"term":[189],"into":[190],"traditional":[192,255],"model":[195,238],"design":[197,228],"two-step":[199],"sparse":[202,244],"(TwTVSI)":[204],"algorithm.":[205,285],"Therefore,":[206],"while":[207],"ensuring":[208],"computational":[210],"efficiency,":[211],"boundary":[213],"effect":[214],"caused":[215],"processing":[219],"inside":[220],"removed.":[224],"addition,":[226],"TwTVSI":[231],"effectively":[234],"dictionary,":[245],"thereby":[246],"breaking":[247],"through":[248],"performance":[251],"limitation":[252],"regularized":[256],"due":[262],"lack":[265],"sparseness":[267],"signal":[270],"transform":[271],"domain.":[272],"The":[273],"final":[274],"experimental":[275],"results":[276],"also":[277],"verify":[278],"effectiveness":[280],"our":[282]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}