{"id":"https://openalex.org/W2758461560","doi":"https://doi.org/10.1109/access.2017.2757239","title":"Multi-Frame Super-Resolution Reconstruction Based on Gradient Vector Flow Hybrid Field","display_name":"Multi-Frame Super-Resolution Reconstruction Based on Gradient Vector Flow Hybrid Field","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2758461560","doi":"https://doi.org/10.1109/access.2017.2757239","mag":"2758461560"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2757239","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2757239","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2017.2757239","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076023006","display_name":"Shuying Huang","orcid":"https://orcid.org/0000-0003-2771-8461"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuying Huang","raw_affiliation_strings":["School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086072476","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0003-0642-7446"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111595030","display_name":"Yong Yang","orcid":"https://orcid.org/0000-0002-9831-8783"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yang","raw_affiliation_strings":["School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063013411","display_name":"Yuming Fang","orcid":"https://orcid.org/0000-0002-6946-3586"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Fang","raw_affiliation_strings":["School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100689959","display_name":"Pan Lin","orcid":"https://orcid.org/0000-0001-7473-905X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Lin","raw_affiliation_strings":["Institute of Biomedical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076023006"],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1833,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87344222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"5","issue":null,"first_page":"21669","last_page":"21683"},"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/T11897","display_name":"Digital Holography and Microscopy","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9896000027656555,"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/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.7532049417495728},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5867469310760498},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.5489906072616577},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.532024085521698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5304911136627197},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5089178085327148},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.497163325548172},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4966004490852356},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.49452635645866394},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4501837491989136},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.42818063497543335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4275766611099243},{"id":"https://openalex.org/keywords/vector-field","display_name":"Vector field","score":0.414779394865036},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41468194127082825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3611963987350464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36014288663864136},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3075844645500183},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.27625155448913574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22064700722694397},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.1910390853881836},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13917765021324158},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08289638161659241}],"concepts":[{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.7532049417495728},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5867469310760498},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.5489906072616577},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.532024085521698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5304911136627197},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5089178085327148},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.497163325548172},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4966004490852356},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.49452635645866394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4501837491989136},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.42818063497543335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4275766611099243},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.414779394865036},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41468194127082825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3611963987350464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36014288663864136},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3075844645500183},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.27625155448913574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22064700722694397},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.1910390853881836},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13917765021324158},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08289638161659241}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2757239","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2757239","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0266a336095c4dc985a4291ced4a649c","is_oa":true,"landing_page_url":"https://doaj.org/article/0266a336095c4dc985a4291ced4a649c","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":"IEEE Access, Vol 5, Pp 21669-21683 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2757239","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2757239","pdf_url":null,"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":null,"license_id":null,"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/G3114494415","display_name":null,"funder_award_id":"61662026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6388478615","display_name":null,"funder_award_id":"61462031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6412763496","display_name":null,"funder_award_id":"20151BAB207033","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G6929778555","display_name":null,"funder_award_id":"20161ACB21015","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1481053462","https://openalex.org/W1590245106","https://openalex.org/W1919542679","https://openalex.org/W1972705785","https://openalex.org/W2015718162","https://openalex.org/W2016482162","https://openalex.org/W2047625347","https://openalex.org/W2049237558","https://openalex.org/W2057220024","https://openalex.org/W2057817757","https://openalex.org/W2074406023","https://openalex.org/W2103035876","https://openalex.org/W2104618834","https://openalex.org/W2111454493","https://openalex.org/W2121058967","https://openalex.org/W2125325064","https://openalex.org/W2133665775","https://openalex.org/W2150081556","https://openalex.org/W2150134853","https://openalex.org/W2150243299","https://openalex.org/W2156825886","https://openalex.org/W2163370434","https://openalex.org/W2163935418","https://openalex.org/W2165015795","https://openalex.org/W2165939075","https://openalex.org/W2171192836","https://openalex.org/W2172128189","https://openalex.org/W2181684145","https://openalex.org/W2260260283","https://openalex.org/W2320725294","https://openalex.org/W2359099468","https://openalex.org/W2430516715","https://openalex.org/W2469023256","https://openalex.org/W2503339013","https://openalex.org/W2509348655","https://openalex.org/W2523058113","https://openalex.org/W2536599074","https://openalex.org/W2536635919","https://openalex.org/W2568836606","https://openalex.org/W2587331199","https://openalex.org/W2607041014","https://openalex.org/W2987004640","https://openalex.org/W3043538212","https://openalex.org/W6628748995","https://openalex.org/W6675981210","https://openalex.org/W6683680428","https://openalex.org/W6724673846","https://openalex.org/W6781412027"],"related_works":["https://openalex.org/W1699622673","https://openalex.org/W2391378893","https://openalex.org/W2381554070","https://openalex.org/W1998728244","https://openalex.org/W2495078643","https://openalex.org/W1999951602","https://openalex.org/W2082304850","https://openalex.org/W1976863416","https://openalex.org/W2761243560","https://openalex.org/W233850645"],"abstract_inverted_index":{"In":[0,78],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,27,63,80,108,121],"novel":[6],"multi-frame":[7,110],"super-resolution":[8],"(SR)":[9],"method,":[10],"which":[11,35,70],"is":[12,36,40,68,86,113,129],"developed":[13],"by":[14,61,115],"considering":[15],"image":[16,25,46,74],"enhancement":[17,100],"and":[18,76,99,104,124,139,156],"denoising":[19,75,98],"into":[20],"the":[21,45,53,89,102,117,125,133,146,163],"SR":[22,111,135,149],"processing.":[23],"For":[24],"enhancement,":[26],"gradient":[28,54],"vector":[29],"flow":[30],"hybrid":[31],"field":[32],"(GVFHF)":[33],"algorithm,":[34],"robust":[37],"to":[38,43,92,131],"noise":[39],"first":[41],"designed":[42],"capture":[44],"edges":[47,161],"more":[48],"accurately.":[49],"Then,":[50],"through":[51],"replacing":[52],"of":[55,162],"anisotropic":[56],"diffusion":[57],"shock":[58],"filter":[59],"(ADSF)":[60],"GVFHF,":[62],"GVFHF-based":[64],"ADSF":[65],"(GVFHF-ADSF)":[66],"model":[67,91,119],"proposed,":[69],"can":[71,151],"effectively":[72,152],"achieve":[73],"enhancement.":[77],"addition,":[79],"difference":[81],"curvature-based":[82],"spatial":[83],"weight":[84,96],"factor":[85],"defined":[87],"in":[88,101],"GVFHF-ADSF":[90,118],"obtain":[93],"an":[94],"adaptive":[95],"between":[97],"flat":[103],"edge":[105],"regions.":[106],"Finally,":[107],"GVFHF-ADSF-based":[109,148],"method":[112],"presented":[114],"employing":[116],"as":[120],"regularization":[122],"term":[123],"steepest":[126],"descent":[127],"algorithm":[128,150],"adopted":[130],"solve":[132],"inverse":[134],"problem.":[136],"Experimental":[137],"results":[138],"comparisons":[140],"with":[141],"existing":[142],"methods":[143],"demonstrate":[144],"that":[145],"proposed":[147],"suppress":[153],"both":[154],"Gaussian":[155],"salt-and-pepper":[157],"noise,":[158],"meanwhile":[159],"enhance":[160],"reconstructed":[164],"image.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
