{"id":"https://openalex.org/W2766995321","doi":"https://doi.org/10.1109/ccoms.2017.8075273","title":"Noise estimation for denoising multi-frame color images","display_name":"Noise estimation for denoising multi-frame color images","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2766995321","doi":"https://doi.org/10.1109/ccoms.2017.8075273","mag":"2766995321"},"language":"en","primary_location":{"id":"doi:10.1109/ccoms.2017.8075273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2017.8075273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 2nd International Conference on Computer and Communication Systems (ICCCS)","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/A5083455864","display_name":"Somkait Udomhunsakul","orcid":null},"institutions":[{"id":"https://openalex.org/I1285782058","display_name":"Rajamangala University of Technology Isan","ror":"https://ror.org/04a2rz655","country_code":"TH","type":"education","lineage":["https://openalex.org/I1285782058"]},{"id":"https://openalex.org/I4210106845","display_name":"Rajamangala University of Technology Suvarnabhumi","ror":"https://ror.org/01j1np431","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210106845"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Somkait Udomhunsakul","raw_affiliation_strings":["Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi, Nonthaburi, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi, Nonthaburi, Thailand","institution_ids":["https://openalex.org/I1285782058","https://openalex.org/I4210106845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089318941","display_name":"Napa Sae-Bae","orcid":"https://orcid.org/0000-0002-3354-8596"},"institutions":[{"id":"https://openalex.org/I1285782058","display_name":"Rajamangala University of Technology Isan","ror":"https://ror.org/04a2rz655","country_code":"TH","type":"education","lineage":["https://openalex.org/I1285782058"]},{"id":"https://openalex.org/I4210106845","display_name":"Rajamangala University of Technology Suvarnabhumi","ror":"https://ror.org/01j1np431","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210106845"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Napa Sae-Bae","raw_affiliation_strings":["Faculty of Science and Technology, Rajamangala University of Technology Suvarnabhumi, Nonthaburi, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Rajamangala University of Technology Suvarnabhumi, Nonthaburi, Thailand","institution_ids":["https://openalex.org/I1285782058","https://openalex.org/I4210106845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083455864"],"corresponding_institution_ids":["https://openalex.org/I1285782058","https://openalex.org/I4210106845"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15645258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"86","last_page":"90"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9940000176429749,"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":0.9894000291824341,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.720253586769104},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6955020427703857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6898435354232788},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6529760956764221},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6106144785881042},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6030856370925903},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.5651825070381165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.534782886505127},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4947780966758728},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.42903873324394226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4258314073085785},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1099221408367157},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05711451172828674}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.720253586769104},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6955020427703857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898435354232788},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6529760956764221},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6106144785881042},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6030856370925903},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.5651825070381165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.534782886505127},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4947780966758728},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.42903873324394226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4258314073085785},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1099221408367157},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05711451172828674},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccoms.2017.8075273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2017.8075273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 2nd International Conference on Computer and Communication Systems (ICCCS)","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":12,"referenced_works":["https://openalex.org/W2033831971","https://openalex.org/W2039240409","https://openalex.org/W2062515778","https://openalex.org/W2071944333","https://openalex.org/W2114582354","https://openalex.org/W2136961432","https://openalex.org/W2138057336","https://openalex.org/W2153777140","https://openalex.org/W2158940042","https://openalex.org/W2170885533","https://openalex.org/W2581542894","https://openalex.org/W4214806317"],"related_works":["https://openalex.org/W2792867467","https://openalex.org/W4287081060","https://openalex.org/W3182043338","https://openalex.org/W1538114257","https://openalex.org/W2541197080","https://openalex.org/W2791234060","https://openalex.org/W2895947835","https://openalex.org/W2035842925","https://openalex.org/W1974034585","https://openalex.org/W2810018092"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"and":[3],"analyzes":[4],"the":[5,43,51],"performance":[6],"of":[7,30,48],"noise":[8],"estimation":[9],"technique":[10,59],"for":[11,42],"multi-frame":[12,23],"noisy":[13],"images.":[14],"The":[15,36],"proposed":[16],"method":[17],"is":[18],"then":[19],"applied":[20],"to":[21],"denoise":[22],"color":[24],"image":[25,31,44,63],"that":[26],"contain":[27],"different":[28],"level":[29,47],"contents":[32],"or":[33],"activity":[34],"levels.":[35],"evaluation":[37],"results":[38],"have":[39],"shown":[40],"that,":[41],"with":[45,53],"high":[46,55],"activity,":[49],"i.e.,":[50],"one":[52],"large":[54],"frequency":[56],"components,":[57],"our":[58],"outperforms":[60],"many":[61],"conventional":[62],"denoising":[64],"approaches.":[65]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}