{"id":"https://openalex.org/W3182767856","doi":"https://doi.org/10.1109/meco52532.2021.9460201","title":"Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination","display_name":"Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination","publication_year":2021,"publication_date":"2021-06-07","ids":{"openalex":"https://openalex.org/W3182767856","doi":"https://doi.org/10.1109/meco52532.2021.9460201","mag":"3182767856"},"language":"en","primary_location":{"id":"doi:10.1109/meco52532.2021.9460201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco52532.2021.9460201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 10th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032223985","display_name":"Pavel Lyakhov","orcid":"https://orcid.org/0000-0003-0487-4779"},"institutions":[{"id":"https://openalex.org/I210043505","display_name":"North-Caucasus Federal University","ror":"https://ror.org/05g1k4d79","country_code":"RU","type":"education","lineage":["https://openalex.org/I210043505"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"P.A. Lyakhov","raw_affiliation_strings":["Department of mathematical modeling, North-Caucasus Federal University Stavropol, Russia","North-Caucasus Federal University Stavropol,Department of mathematical modeling,Russia"],"affiliations":[{"raw_affiliation_string":"Department of mathematical modeling, North-Caucasus Federal University Stavropol, Russia","institution_ids":["https://openalex.org/I210043505"]},{"raw_affiliation_string":"North-Caucasus Federal University Stavropol,Department of mathematical modeling,Russia","institution_ids":["https://openalex.org/I210043505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079995025","display_name":"Georgii Valuev","orcid":"https://orcid.org/0000-0003-2049-7213"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"G.V. Valuev","raw_affiliation_strings":["Department of Automation and Control Processes, St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg, Russia","St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg,Department of Automation and Control Processes,Russia"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Control Processes, St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]},{"raw_affiliation_string":"St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg,Department of Automation and Control Processes,Russia","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004597011","display_name":"Maria Valueva","orcid":"https://orcid.org/0000-0002-4732-3216"},"institutions":[{"id":"https://openalex.org/I210043505","display_name":"North-Caucasus Federal University","ror":"https://ror.org/05g1k4d79","country_code":"RU","type":"education","lineage":["https://openalex.org/I210043505"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"M.V. Valueva","raw_affiliation_strings":["Department of mathematical modeling, North-Caucasus Federal University Stavropol, Russia","North-Caucasus Federal University Stavropol,Department of mathematical modeling,Russia"],"affiliations":[{"raw_affiliation_string":"Department of mathematical modeling, North-Caucasus Federal University Stavropol, Russia","institution_ids":["https://openalex.org/I210043505"]},{"raw_affiliation_string":"North-Caucasus Federal University Stavropol,Department of mathematical modeling,Russia","institution_ids":["https://openalex.org/I210043505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054967047","display_name":"Dmitrii Kaplun","orcid":"https://orcid.org/0000-0003-2765-4509"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"D.I. Kaplun","raw_affiliation_strings":["Department of Automation and Control Processes, St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg, Russia","St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg,Department of Automation and Control Processes,Russia"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Control Processes, St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]},{"raw_affiliation_string":"St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg,Department of Automation and Control Processes,Russia","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006995291","display_name":"Aleksandr Sinitca","orcid":"https://orcid.org/0000-0001-9869-4909"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"A.M. Sinitca","raw_affiliation_strings":["Department of Automation and Control Processes, St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg, Russia","St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg,Department of Automation and Control Processes,Russia"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Control Processes, St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]},{"raw_affiliation_string":"St. Petersburg Electrotechnical University \u201cLETI\u201d St. Petersburg,Department of Automation and Control Processes,Russia","institution_ids":["https://openalex.org/I41518628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032223985"],"corresponding_institution_ids":["https://openalex.org/I210043505"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54928105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9835000038146973,"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":0.977400004863739,"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/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.9812878370285034},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.8130965232849121},{"id":"https://openalex.org/keywords/stairstep-interpolation","display_name":"Stairstep interpolation","score":0.660321056842804},{"id":"https://openalex.org/keywords/demosaicing","display_name":"Demosaicing","score":0.6315172910690308},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.613589346408844},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.6125202178955078},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5908614993095398},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5878599286079407},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.5837888121604919},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5355515480041504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5326492190361023},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4801899194717407},{"id":"https://openalex.org/keywords/nearest-neighbor-interpolation","display_name":"Nearest-neighbor interpolation","score":0.44444751739501953},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.4078376889228821},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40564462542533875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37136414647102356},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2719201445579529},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27152931690216064}],"concepts":[{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.9812878370285034},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.8130965232849121},{"id":"https://openalex.org/C119768884","wikidata":"https://www.wikidata.org/wiki/Q7597108","display_name":"Stairstep interpolation","level":4,"score":0.660321056842804},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.6315172910690308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.613589346408844},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.6125202178955078},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5908614993095398},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5878599286079407},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.5837888121604919},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5355515480041504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5326492190361023},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4801899194717407},{"id":"https://openalex.org/C207214200","wikidata":"https://www.wikidata.org/wiki/Q4202129","display_name":"Nearest-neighbor interpolation","level":4,"score":0.44444751739501953},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.4078376889228821},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40564462542533875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37136414647102356},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2719201445579529},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27152931690216064},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco52532.2021.9460201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco52532.2021.9460201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 10th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2112924398","https://openalex.org/W2113524221","https://openalex.org/W2121927366","https://openalex.org/W2124325871","https://openalex.org/W2165589608","https://openalex.org/W2604334942","https://openalex.org/W2614221804","https://openalex.org/W2894290558","https://openalex.org/W2902917151","https://openalex.org/W2991350900","https://openalex.org/W3010266538","https://openalex.org/W3013152984","https://openalex.org/W3069245681","https://openalex.org/W3214324855"],"related_works":["https://openalex.org/W2352808182","https://openalex.org/W2553003891","https://openalex.org/W2380706286","https://openalex.org/W2062947881","https://openalex.org/W2359865259","https://openalex.org/W2036543038","https://openalex.org/W2355602298","https://openalex.org/W2125860982","https://openalex.org/W2088783111","https://openalex.org/W2356755329"],"abstract_inverted_index":{"The":[0,31],"single":[1],"image":[2,32],"super-resolution":[3],"issue":[4],"is":[5,33,41],"studied":[6],"in":[7],"this":[8,29],"paper.":[9],"We":[10],"propose":[11],"a":[12,17],"new":[13],"method":[14],"based":[15],"on":[16],"combination":[18],"of":[19],"bilinear":[20,36],"interpolation":[21],"and":[22],"the":[23,44],"U-Net":[24],"neural":[25,45],"network":[26],"to":[27],"solve":[28],"problem.":[30],"enlarged":[34],"by":[35,43,53],"interpolation,":[37],"then":[38],"its":[39],"quality":[40,52],"improved":[42],"network.":[46],"This":[47],"approach":[48],"allows":[49],"improving":[50],"reconstruction":[51],"1.00-6.56%":[54],"compared":[55],"with":[56],"known":[57],"methods.":[58]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}