{"id":"https://openalex.org/W1969432837","doi":"https://doi.org/10.1145/2448556.2448634","title":"Regularization based super-resolution image processing algorithm using edge-adaptive non-local means filter","display_name":"Regularization based super-resolution image processing algorithm using edge-adaptive non-local means filter","publication_year":2013,"publication_date":"2013-01-17","ids":{"openalex":"https://openalex.org/W1969432837","doi":"https://doi.org/10.1145/2448556.2448634","mag":"1969432837"},"language":"en","primary_location":{"id":"doi:10.1145/2448556.2448634","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2448556.2448634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication","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/A5061743980","display_name":"DaeOk Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"DaeOk Kim","raw_affiliation_strings":["Yonsei University, Seodaemun-Gu, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University, Seodaemun-Gu, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049739329","display_name":"Hyeran Byun","orcid":"https://orcid.org/0000-0002-3082-3214"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeran Byun","raw_affiliation_strings":["Yonsei University, Seodaemun-Gu, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University, Seodaemun-Gu, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061743980"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56337557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9918000102043152,"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/regularization","display_name":"Regularization (linguistics)","score":0.6977825164794922},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.6412556171417236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5870141983032227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5867795348167419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5852574110031128},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5808111429214478},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48418310284614563},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.48411548137664795},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.4752338230609894},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.4745034873485565},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4725463390350342},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4672417938709259},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.428711473941803},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42834314703941345},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.33666834235191345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3237462043762207},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.2736619710922241}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6977825164794922},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.6412556171417236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5870141983032227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5867795348167419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852574110031128},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5808111429214478},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48418310284614563},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.48411548137664795},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.4752338230609894},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.4745034873485565},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4725463390350342},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4672417938709259},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.428711473941803},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42834314703941345},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.33666834235191345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3237462043762207},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.2736619710922241}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2448556.2448634","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2448556.2448634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2016482162","https://openalex.org/W2057817757","https://openalex.org/W2067042811","https://openalex.org/W2097073572","https://openalex.org/W2106613244","https://openalex.org/W2117214938","https://openalex.org/W2137155687","https://openalex.org/W2165939075"],"related_works":["https://openalex.org/W2201050717","https://openalex.org/W4319917433","https://openalex.org/W3088540525","https://openalex.org/W2901858402","https://openalex.org/W2977296457","https://openalex.org/W2303132117","https://openalex.org/W2101121116","https://openalex.org/W2381334782","https://openalex.org/W2336526268","https://openalex.org/W1595241965"],"abstract_inverted_index":{"Super-Resolution":[0,43],"(SR)":[1],"image":[2,57,68],"reconstruction":[3,58,69],"is":[4,24],"a":[5,33,41,74,80,99,115],"technology":[6,31],"to":[7],"reconstruct":[8],"multiple":[9,15],"low-resolution":[10],"images":[11],"into":[12],"one":[13],"or":[14],"high-resolution":[16],"images.":[17],"As":[18,73],"the":[19,27,54,60],"use":[20],"of":[21,29,56,67],"digital":[22],"camera":[23],"recently":[25],"increasing,":[26],"advancement":[28],"super-resolution":[30],"gets":[32],"great":[34],"attention.":[35],"In":[36],"this":[37],"study,":[38],"we":[39,63,76],"propose":[40],"regularization-based":[42],"algorithm":[44,61],"that":[45,62,66,79],"utilizes":[46],"an":[47,91],"Edge-adaptive":[48,92],"Non-Local":[49,93,100],"Means":[50,94,101],"filter.":[51,102],"We":[52,103],"compare":[53],"result":[55,82],"through":[59,70],"proposed":[64],"and":[65],"existing":[71],"studies.":[72],"result,":[75],"could":[77,104],"verify":[78],"better":[81],"would":[83],"be":[84],"obtained":[85],"for":[86],"regularization":[87],"function":[88],"when":[89],"using":[90,98,114],"filter":[95],"rather":[96],"than":[97,113],"also":[105],"obtain":[106],"much":[107],"higher":[108],"PSNR(Peak":[109],"Signal-to":[110],"Noise":[111],"Ratio)":[112],"Bilateral":[116],"Total":[117],"Variation(BTV)":[118],"method.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}