{"id":"https://openalex.org/W2896753233","doi":"https://doi.org/10.1145/3207677.3277978","title":"Bilateral Linear Operator for Period Noise Image De-noising","display_name":"Bilateral Linear Operator for Period Noise Image De-noising","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W2896753233","doi":"https://doi.org/10.1145/3207677.3277978","mag":"2896753233"},"language":"en","primary_location":{"id":"doi:10.1145/3207677.3277978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3207677.3277978","pdf_url":null,"source":{"id":"https://openalex.org/S4306523741","display_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","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/A5067240780","display_name":"Weirong Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weirong Zhou","raw_affiliation_strings":["Department of Mathematics, Dalian, Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Dalian, Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080037549","display_name":"Yunjie Zhang","orcid":"https://orcid.org/0000-0002-6962-6189"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjie Zhang","raw_affiliation_strings":["Department of Mathematics, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100617985","display_name":"Yongchao Liu","orcid":"https://orcid.org/0000-0001-9955-4414"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchao Liu","raw_affiliation_strings":["Department of Mathematics, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067240780"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.1204,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45760122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9980000257492065,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9873999953269958,"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/noise","display_name":"Noise (video)","score":0.6258231997489929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5219035744667053},{"id":"https://openalex.org/keywords/linear-map","display_name":"Linear map","score":0.5014090538024902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4951857626438141},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4937184751033783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45108163356781006},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4275815784931183},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.42243367433547974},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4184035658836365},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.41387754678726196},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3744050860404968},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.36377930641174316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3611370027065277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3470783829689026}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6258231997489929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5219035744667053},{"id":"https://openalex.org/C49766605","wikidata":"https://www.wikidata.org/wiki/Q207643","display_name":"Linear map","level":2,"score":0.5014090538024902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4951857626438141},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4937184751033783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45108163356781006},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4275815784931183},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.42243367433547974},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4184035658836365},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.41387754678726196},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3744050860404968},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.36377930641174316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3611370027065277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3470783829689026},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3207677.3277978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3207677.3277978","pdf_url":null,"source":{"id":"https://openalex.org/S4306523741","display_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","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":11,"referenced_works":["https://openalex.org/W2014820892","https://openalex.org/W2056370875","https://openalex.org/W2062784205","https://openalex.org/W2105119246","https://openalex.org/W2147918420","https://openalex.org/W2157423624","https://openalex.org/W2335340103","https://openalex.org/W2561139386","https://openalex.org/W2593254907","https://openalex.org/W2790518132","https://openalex.org/W6664401941"],"related_works":["https://openalex.org/W3108403339","https://openalex.org/W4401572286","https://openalex.org/W2162712524","https://openalex.org/W2364148186","https://openalex.org/W2066798134","https://openalex.org/W4287867034","https://openalex.org/W2175872006","https://openalex.org/W3005783148","https://openalex.org/W2115763819","https://openalex.org/W3021143552"],"abstract_inverted_index":{"The1":[0],"period":[1,27],"noise":[2,28,72,86,92],"typically":[3],"results":[4,115],"from":[5],"electrical":[6],"or":[7],"motor":[8],"disturbances":[9],"in":[10,16,38],"the":[11,24,42,47,56,60,67,71,75,81,90,95,109,112,114,121],"image":[12,18,48,73,87],"acquisition":[13],"process,":[14],"resulting":[15],"degraded":[17],"quality.":[19],"In":[20,41],"order":[21],"to":[22,46,65,84,107],"reduce":[23],"influence":[25],"of":[26,32,111],"effectively,":[29],"de-noising":[30,127],"algorithm":[31,123],"bilateral":[33],"linear":[34,82],"operators":[35,83],"is":[36,58,63,101],"proposed":[37,99,122],"this":[39],"paper.":[40],"presented":[43],"method,":[44,113],"according":[45],"can":[49],"be":[50],"represented":[51],"by":[52],"a":[53,125],"matrix":[54,57,69],"and":[55,74,78,131],"full-rank,":[59],"least-squares":[61],"regression":[62],"used":[64],"find":[66],"transformation":[68],"between":[70],"original":[76],"image,":[77],"then":[79],"use":[80],"de-noise":[85],"which":[88],"have":[89],"same":[91],"intensity":[93],"with":[94,103,133],"training":[96],"image.":[97],"The":[98],"method":[100],"compared":[102],"other":[104],"traditional":[105],"methods":[106],"evaluate":[108],"effectiveness":[110],"under":[116],"different":[117],"conditions":[118],"shows":[119],"that":[120],"has":[124],"better":[126],"effect":[128],"both":[129],"visually":[130],"quantitatively":[132],"lower":[134],"computational":[135],"cost.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}