{"id":"https://openalex.org/W2204627942","doi":"https://doi.org/10.5220/0005787202040214","title":"BM3D Image Denoising using Learning-based Adaptive Hard Thresholding","display_name":"BM3D Image Denoising using Learning-based Adaptive Hard Thresholding","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2204627942","doi":"https://doi.org/10.5220/0005787202040214","mag":"2204627942"},"language":"en","primary_location":{"id":"doi:10.5220/0005787202040214","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005787202040214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","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/A5068660322","display_name":"Farhan Bashar","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Farhan Bashar","raw_affiliation_strings":["The University of Western Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"The University of Western Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059318314","display_name":"Mahmoud R. El-Sakka","orcid":"https://orcid.org/0000-0002-7877-8280"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mahmoud R. El-Sakka","raw_affiliation_strings":["The University of Western Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"The University of Western Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068660322"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":0.5068,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.708606,"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":"204","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9983000159263611,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9905999898910522,"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/thresholding","display_name":"Thresholding","score":0.8750689625740051},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.7987244129180908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7079066038131714},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6685979962348938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311472654342651},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4879431128501892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48301467299461365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4119381606578827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32703185081481934}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8750689625740051},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.7987244129180908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7079066038131714},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6685979962348938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311472654342651},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4879431128501892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48301467299461365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4119381606578827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32703185081481934}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0005787202040214","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005787202040214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lib.uwo.ca:etd-5117","is_oa":false,"landing_page_url":"https://ir.lib.uwo.ca/etd/3359","pdf_url":null,"source":{"id":"https://openalex.org/S4306400648","display_name":"Scholarship@Western (Western University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I125749732","host_organization_name":"Western University","host_organization_lineage":["https://openalex.org/I125749732"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Thesis and Dissertation Repository","raw_type":"text"}],"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/W1485262465","https://openalex.org/W1627054999","https://openalex.org/W1992201949","https://openalex.org/W2025262733","https://openalex.org/W2037964381","https://openalex.org/W2047710600","https://openalex.org/W2056370875","https://openalex.org/W2097073572","https://openalex.org/W2123403102","https://openalex.org/W2133665775","https://openalex.org/W2137577808","https://openalex.org/W2150134853","https://openalex.org/W2911964244","https://openalex.org/W3098164245"],"related_works":["https://openalex.org/W2133587243","https://openalex.org/W2952127465","https://openalex.org/W2028276520","https://openalex.org/W2164628286","https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585"],"abstract_inverted_index":{"Image":[0],"denoising":[1],"is":[2,17,105],"an":[3,88,111],"important":[4],"pre-processing":[5],"step":[6],"in":[7,96,101,130,143],"most":[8],"imaging":[9],"applications.":[10],"Block":[11],"Matching":[12],"and":[13,146],"3D":[14,43],"Filtering":[15],"(BM3D)":[16],"considered":[18],"to":[19,38,79,108,122],"be":[20],"the":[21,53,62,90,93,97,125,128,131],"current":[22],"state-of-art":[23],"algorithm":[24,31,85,140],"for":[25],"additive":[26],"image":[27],"denoising.":[28],"But":[29,100],"this":[30,48,68,81,117],"uses":[32],"a":[33,42,72],"fixed":[34,49],"hard":[35,50,76],"thresholding":[36,51,77],"scheme":[37],"attenuate":[39],"noise":[40,94,114,129],"from":[41],"block.":[44],"Experiments":[45],"show":[46],"that":[47,137],"deteriorates":[52],"performance":[54],"of":[55,64,92,127],"BM3D":[56,84,142],"because":[57],"it":[58,104],"does":[59],"not":[60,106],"consider":[61],"context":[63],"corresponding":[65],"blocks.":[66],"In":[67,116],"thesis,":[69,118],"we":[70,119],"propose":[71],"learning":[73],"based":[74],"adaptive":[75],"method":[78],"solve":[80],"issue.":[82],"Also,":[83],"requires":[86],"as":[87,110],"input":[89,98,112,132],"value":[91],"level":[95,126],"image.":[99,133],"real":[102],"life":[103],"practical":[107],"pass":[109],"such":[113],"level.":[115],"also":[120],"attempt":[121],"automatically":[123],"estimate":[124],"Experimental":[134],"results":[135],"demonstrate":[136],"our":[138],"proposed":[139],"outperforms":[141],"both":[144],"objective":[145],"subjective":[147],"fidelity":[148],"criteria.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
