{"id":"https://openalex.org/W4294069449","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869029","title":"Study on Noise Reduction Method of low Illuminance Image Based on Noise Feature","display_name":"Study on Noise Reduction Method of low Illuminance Image Based on Noise Feature","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4294069449","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869029"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan55306.2022.9869029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869029","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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":"2022 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062983360","display_name":"Yuan Enze","orcid":null},"institutions":[{"id":"https://openalex.org/I197425175","display_name":"Shonan Institute of Technology","ror":"https://ror.org/01bawqf59","country_code":"JP","type":"education","lineage":["https://openalex.org/I197425175"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuan Enze","raw_affiliation_strings":["Shonan Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shonan Institute of Technology","institution_ids":["https://openalex.org/I197425175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070862348","display_name":"Yasuyuki Miura","orcid":null},"institutions":[{"id":"https://openalex.org/I197425175","display_name":"Shonan Institute of Technology","ror":"https://ror.org/01bawqf59","country_code":"JP","type":"education","lineage":["https://openalex.org/I197425175"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuyuki Miura","raw_affiliation_strings":["Shonan Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shonan Institute of Technology","institution_ids":["https://openalex.org/I197425175"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197425175"],"apc_list":null,"apc_paid":null,"fwci":0.0925,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36113908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"107","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9997000098228455,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9997000098228455,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9796000123023987,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9704999923706055,"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/noise-reduction","display_name":"Noise reduction","score":0.6432946920394897},{"id":"https://openalex.org/keywords/illuminance","display_name":"Illuminance","score":0.623401939868927},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6047983169555664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5743735432624817},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5417928695678711},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.5277931094169617},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4792885184288025},{"id":"https://openalex.org/keywords/dark-frame-subtraction","display_name":"Dark-frame subtraction","score":0.47205954790115356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3933217525482178},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39240574836730957},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38134580850601196},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.3596116304397583},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2540440559387207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22542163729667664},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1706550419330597},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12535029649734497}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6432946920394897},{"id":"https://openalex.org/C36365805","wikidata":"https://www.wikidata.org/wiki/Q194411","display_name":"Illuminance","level":2,"score":0.623401939868927},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6047983169555664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5743735432624817},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5417928695678711},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.5277931094169617},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4792885184288025},{"id":"https://openalex.org/C1160358","wikidata":"https://www.wikidata.org/wiki/Q861103","display_name":"Dark-frame subtraction","level":5,"score":0.47205954790115356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3933217525482178},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39240574836730957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38134580850601196},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.3596116304397583},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2540440559387207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22542163729667664},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1706550419330597},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12535029649734497},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/icce-taiwan55306.2022.9869029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869029","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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":3,"referenced_works":["https://openalex.org/W2065429801","https://openalex.org/W2083970667","https://openalex.org/W2483420468"],"related_works":["https://openalex.org/W2104275258","https://openalex.org/W2083775566","https://openalex.org/W3140076208","https://openalex.org/W2186246304","https://openalex.org/W4401572286","https://openalex.org/W3150161050","https://openalex.org/W2369770188","https://openalex.org/W3189753902","https://openalex.org/W2084335383","https://openalex.org/W2373981197"],"abstract_inverted_index":{"In":[0,31],"the":[1,12,19,37,45,48,55,66,82,85,89],"field":[2],"of":[3,16,47,68,74,84,91],"image":[4,17,22,32],"processing,":[5],"it":[6],"is":[7,40,57,95],"often":[8],"necessary":[9],"to":[10,44,52],"separate":[11],"background":[13],"and":[14,28,71,93],"foreground":[15],"for":[18,21],"application":[20],"editing,":[23],"moving-object":[24],"recognition,":[25],"machine":[26],"learning":[27],"so":[29,41],"on.":[30],"recognition":[33],"under":[34],"low":[35],"illumination,":[36],"random":[38],"noise":[39,72,94],"intense":[42],"relative":[43],"intensity":[46],"signal.":[49],"So":[50],"\u201cHow":[51],"deal":[53],"with":[54],"noise\u201d":[56],"important":[58],"problem.":[59],"Therefore,":[60],"in":[61],"this":[62],"research,":[63],"we":[64],"propose":[65],"method":[67,87],"separating":[69],"target":[70,92],"instead":[73],"removing":[75],"noise.":[76],"It":[77],"can":[78],"be":[79],"seen":[80],"from":[81],"results":[83],"proposed":[86],"that":[88],"separation":[90],"possible.":[96]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
