{"id":"https://openalex.org/W3194251438","doi":"https://doi.org/10.3390/s21165533","title":"Robust Multi-Frame Super-Resolution Based on Adaptive Half-Quadratic Function and Local Structure Tensor Weighted BTV","display_name":"Robust Multi-Frame Super-Resolution Based on Adaptive Half-Quadratic Function and Local Structure Tensor Weighted BTV","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3194251438","doi":"https://doi.org/10.3390/s21165533","mag":"3194251438","pmid":"https://pubmed.ncbi.nlm.nih.gov/34450974"},"language":"en","primary_location":{"id":"doi:10.3390/s21165533","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21165533","pdf_url":"https://www.mdpi.com/1424-8220/21/16/5533/pdf?version=1629270865","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/1424-8220/21/16/5533/pdf?version=1629270865","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100417124","display_name":"Shanshan Liu","orcid":"https://orcid.org/0000-0001-8367-6732"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Liu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu 610065, China","Enrollment and Employment Department, Sichuan Normal University, Chengdu 610066, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Enrollment and Employment Department, Sichuan Normal University, Chengdu 610066, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376899","display_name":"Minghui Wang","orcid":"https://orcid.org/0000-0002-1594-136X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minghui Wang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023184951","display_name":"Qingbin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingbin Huang","raw_affiliation_strings":["Science and Technology Branch, Southwest Jiaotong University Press, Chengdu 610031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology Branch, Southwest Jiaotong University Press, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101469909","display_name":"Xia Liu","orcid":"https://orcid.org/0000-0002-5682-0521"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Liu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100376899"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.0942,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.3796344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"16","first_page":"5533","last_page":"5533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9955999851226807,"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":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.6722217798233032},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6399940252304077},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.6144265532493591},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6023359894752502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5894849300384521},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5644258260726929},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5021848678588867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5004494190216064},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.49277499318122864},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4866238534450531},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39908504486083984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6722217798233032},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6399940252304077},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.6144265532493591},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6023359894752502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5894849300384521},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5644258260726929},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5021848678588867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5004494190216064},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49277499318122864},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4866238534450531},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39908504486083984},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s21165533","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21165533","pdf_url":"https://www.mdpi.com/1424-8220/21/16/5533/pdf?version=1629270865","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:34450974","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34450974","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:662e80c0badd47e6a1ea4dc2d497e9e9","is_oa":true,"landing_page_url":"https://doaj.org/article/662e80c0badd47e6a1ea4dc2d497e9e9","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 16, p 5533 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/16/5533/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21165533","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 16; Pages: 5533","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8402259","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8402259","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/s21165533","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21165533","pdf_url":"https://www.mdpi.com/1424-8220/21/16/5533/pdf?version=1629270865","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":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3194251438.pdf","grobid_xml":"https://content.openalex.org/works/W3194251438.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1516074693","https://openalex.org/W1562683879","https://openalex.org/W1791560514","https://openalex.org/W1990416059","https://openalex.org/W2004351654","https://openalex.org/W2006262236","https://openalex.org/W2016482162","https://openalex.org/W2043394915","https://openalex.org/W2066678776","https://openalex.org/W2069929337","https://openalex.org/W2080976294","https://openalex.org/W2102291794","https://openalex.org/W2105910985","https://openalex.org/W2115548755","https://openalex.org/W2128148283","https://openalex.org/W2148040994","https://openalex.org/W2152386996","https://openalex.org/W2165939075","https://openalex.org/W2184360182","https://openalex.org/W2210480155","https://openalex.org/W2288980073","https://openalex.org/W2517589955","https://openalex.org/W2533686021","https://openalex.org/W2579658395","https://openalex.org/W2610638008","https://openalex.org/W2757506757","https://openalex.org/W2808521801","https://openalex.org/W2970633728","https://openalex.org/W2987004640","https://openalex.org/W3043538212","https://openalex.org/W6666840376","https://openalex.org/W6667803204","https://openalex.org/W6686186229"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2142226356","https://openalex.org/W3210000161","https://openalex.org/W3103111272"],"abstract_inverted_index":{"It":[0],"is":[1,58,86,103,126],"difficult":[2,60],"to":[3,10,39,61,88,109,130],"improve":[4],"image":[5,64,119,150,158,185],"resolution":[6,25,92,118],"in":[7,76],"hardware":[8],"due":[9],"the":[11,63,71,90,106,111,115,154,157,161,181,184,187],"limitations":[12],"of":[13,52,73,133,139,156,183],"technology":[14,29],"and":[15,66,69,120,144,159,170],"too":[16],"high":[17,24,117],"costs,":[18],"but":[19,56],"most":[20],"application":[21],"fields":[22],"need":[23],"images,":[26],"so":[27],"super-resolution":[28,54],"has":[30],"been":[31],"produced.":[32],"This":[33],"paper":[34],"mainly":[35],"uses":[36],"information":[37],"redundancy":[38],"realize":[40],"multi-frame":[41,53],"super-resolution.":[42,99],"In":[43,79],"recent":[44],"years,":[45],"many":[46],"researchers":[47],"have":[48],"proposed":[49,87,176],"a":[50,82,140],"variety":[51],"methods,":[55],"it":[57],"very":[59],"preserve":[62,180],"edge":[65],"texture":[67],"details":[68,155,182],"remove":[70],"influence":[72],"noise":[74,162],"effectively":[75],"practical":[77],"applications.":[78],"this":[80],"paper,":[81],"minimum":[83],"variance":[84],"method":[85,177],"select":[89],"low":[91],"images":[93],"with":[94],"appropriate":[95],"quality":[96],"quickly":[97],"for":[98],"The":[100,123,137,164],"half-quadratic":[101],"function":[102,108,124],"used":[104],"as":[105,149],"loss":[107],"minimize":[110],"observation":[112,131],"error":[113],"between":[114],"estimated":[116],"low-resolution":[121,135],"images.":[122],"parameter":[125],"determined":[127],"adaptively":[128],"according":[129],"errors":[132],"each":[134],"image.":[136],"combination":[138],"local":[141],"structure":[142],"tensor":[143],"Bilateral":[145],"Total":[146],"Variation":[147],"(BTV)":[148],"prior":[151],"knowledge":[152],"preserves":[153],"suppresses":[160],"simultaneously.":[163],"experimental":[165],"results":[166],"on":[167],"synthetic":[168],"data":[169,172],"real":[171],"show":[173],"that":[174],"our":[175],"can":[178],"better":[179],"than":[186],"existing":[188],"methods.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
