{"id":"https://openalex.org/W2803061281","doi":"https://doi.org/10.3390/sym10050157","title":"Total Variation Based Neural Network Regression for Nonuniformity Correction of Infrared Images","display_name":"Total Variation Based Neural Network Regression for Nonuniformity Correction of Infrared Images","publication_year":2018,"publication_date":"2018-05-14","ids":{"openalex":"https://openalex.org/W2803061281","doi":"https://doi.org/10.3390/sym10050157","mag":"2803061281"},"language":"en","primary_location":{"id":"doi:10.3390/sym10050157","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym10050157","pdf_url":"https://www.mdpi.com/2073-8994/10/5/157/pdf","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/10/5/157/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051316537","display_name":"Rui Lai","orcid":"https://orcid.org/0000-0002-8458-6429"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Lai","raw_affiliation_strings":["Department of Microelectronics, Xidian University, Xi\u2019an 710071, China","Department of Microelectronics, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022551404","display_name":"Gaoyu Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoyu Yue","raw_affiliation_strings":["Department of Microelectronics, Xidian University, Xi\u2019an 710071, China","Department of Microelectronics, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086632340","display_name":"Gangxuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangxuan Zhang","raw_affiliation_strings":["Department of Microelectronics, Xidian University, Xi\u2019an 710071, China","Department of Microelectronics, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051316537"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":18.9459,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.98583792,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"5","first_page":"157","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/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/ghosting","display_name":"Ghosting","score":0.9375522136688232},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8635284304618835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7439025044441223},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.617614209651947},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5964335799217224},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5828611254692078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5255721211433411},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5211529731750488},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47582152485847473},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.47317221760749817},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.43858909606933594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3607383966445923},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1957179307937622},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.1826474964618683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17959237098693848},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16250577569007874}],"concepts":[{"id":"https://openalex.org/C2780531524","wikidata":"https://www.wikidata.org/wiki/Q551540","display_name":"Ghosting","level":2,"score":0.9375522136688232},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8635284304618835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439025044441223},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.617614209651947},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5964335799217224},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5828611254692078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5255721211433411},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5211529731750488},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47582152485847473},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.47317221760749817},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.43858909606933594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3607383966445923},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1957179307937622},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.1826474964618683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17959237098693848},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16250577569007874},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/sym10050157","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym10050157","pdf_url":"https://www.mdpi.com/2073-8994/10/5/157/pdf","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:mdpi.com:/2073-8994/10/5/157/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym10050157","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":"Symmetry; Volume 10; Issue 5; Pages: 157","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym10050157","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym10050157","pdf_url":"https://www.mdpi.com/2073-8994/10/5/157/pdf","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G8117968730","display_name":null,"funder_award_id":"JBG161113","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2803061281.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1241749939","https://openalex.org/W1978995415","https://openalex.org/W1987522127","https://openalex.org/W1992502155","https://openalex.org/W1995778994","https://openalex.org/W2001257232","https://openalex.org/W2012566791","https://openalex.org/W2027272709","https://openalex.org/W2067537869","https://openalex.org/W2082978702","https://openalex.org/W2112009428","https://openalex.org/W2121296706","https://openalex.org/W2134106119","https://openalex.org/W2153576559","https://openalex.org/W2160498832","https://openalex.org/W2164295825","https://openalex.org/W2168619551","https://openalex.org/W2256025673","https://openalex.org/W2345513726","https://openalex.org/W2462171918","https://openalex.org/W2557046542","https://openalex.org/W6647053833","https://openalex.org/W6677888305","https://openalex.org/W6692136403"],"related_works":["https://openalex.org/W114247175","https://openalex.org/W182732483","https://openalex.org/W2362376230","https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W2168619551","https://openalex.org/W2001810581","https://openalex.org/W2083836425","https://openalex.org/W4297676672","https://openalex.org/W2357367463"],"abstract_inverted_index":{"Many":[0],"existing":[1],"scene-adaptive":[2],"nonuniformity":[3],"correction":[4,128],"(NUC)":[5],"methods":[6],"suffer":[7],"from":[8],"slow":[9],"convergence":[10,121],"rate":[11,77],"together":[12],"with":[13,99],"ghosting":[14,84,124],"effects.":[15],"In":[16],"this":[17],"paper,":[18],"an":[19,73],"improved":[20],"NUC":[21,52],"algorithm":[22,95,116],"based":[23],"on":[24,37],"total":[25,60],"variation":[26,61],"penalized":[27],"neural":[28,50],"network":[29,51],"regression":[30,47],"is":[31,55,78,96],"presented.":[32],"Our":[33],"work":[34],"mainly":[35],"focuses":[36],"solving":[38],"the":[39,64,69,83,93,114,120],"overfitting":[40],"problem":[41],"in":[42,63],"least":[43],"mean":[44],"square":[45],"(LMS)":[46],"of":[48,92],"traditional":[49],"methods,":[53],"which":[54],"realized":[56],"by":[57],"employing":[58],"a":[59],"penalty":[62],"cost":[65],"function":[66],"and":[67,86,104,126],"redesigning":[68],"processing":[70],"architecture.":[71],"Moreover,":[72],"adaptive":[74],"gated":[75],"learning":[76],"presented":[79],"to":[80],"further":[81],"reduce":[82],"artifacts":[85],"guarantee":[87],"fast":[88],"convergence.":[89],"The":[90],"performance":[91],"proposed":[94,115],"comprehensively":[97],"investigated":[98],"artificially":[100],"corrupted":[101],"test":[102],"sequences":[103],"real":[105],"infrared":[106],"image":[107],"sequences,":[108],"respectively.":[109],"Experimental":[110],"results":[111],"show":[112],"that":[113],"can":[117],"effectively":[118],"accelerate":[119],"speed,":[122],"suppress":[123],"artifacts,":[125],"promote":[127],"precision.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}