{"id":"https://openalex.org/W3009568371","doi":"https://doi.org/10.1145/3380688.3380704","title":"Distance-Based Mean Filter for Image Denoising","display_name":"Distance-Based Mean Filter for Image Denoising","publication_year":2020,"publication_date":"2020-01-17","ids":{"openalex":"https://openalex.org/W3009568371","doi":"https://doi.org/10.1145/3380688.3380704","mag":"3009568371"},"language":"en","primary_location":{"id":"doi:10.1145/3380688.3380704","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3380688.3380704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Machine Learning and Soft Computing","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/A5085094846","display_name":"Nguyen Minh Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Nguyen Minh Hong","raw_affiliation_strings":["Department of Automation and Computing Techniques, Le Quy Don Technical University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Computing Techniques, Le Quy Don Technical University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101480391","display_name":"Nguyen Chi Thanh","orcid":"https://orcid.org/0000-0002-3103-2959"},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Chi Thanh","raw_affiliation_strings":["Department of Automation and Computing Techniques, Le Quy Don Technical University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Computing Techniques, Le Quy Don Technical University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085094846"],"corresponding_institution_ids":["https://openalex.org/I131359167"],"apc_list":null,"apc_paid":null,"fwci":0.4885,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.64376218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9955999851226807,"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/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.7146280407905579},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7069877982139587},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.6551345586776733},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6486904621124268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6471133828163147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6258136034011841},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.6026943325996399},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.546881377696991},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5246263146400452},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4716866612434387},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4258078336715698},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4178348481655121},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.4121285080909729},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.32065385580062866},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24347028136253357},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2104872465133667}],"concepts":[{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.7146280407905579},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7069877982139587},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.6551345586776733},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6486904621124268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6471133828163147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6258136034011841},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.6026943325996399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.546881377696991},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5246263146400452},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4716866612434387},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4258078336715698},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4178348481655121},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.4121285080909729},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.32065385580062866},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24347028136253357},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2104872465133667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3380688.3380704","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3380688.3380704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W43425017","https://openalex.org/W1586613808","https://openalex.org/W1647921945","https://openalex.org/W1987611495","https://openalex.org/W1991108537","https://openalex.org/W2034925098","https://openalex.org/W2040664021","https://openalex.org/W2133264613","https://openalex.org/W2133665775","https://openalex.org/W2148358298","https://openalex.org/W2171743875","https://openalex.org/W2294876837","https://openalex.org/W2547808781","https://openalex.org/W2787051466","https://openalex.org/W2787580321","https://openalex.org/W2799485481","https://openalex.org/W2896217987","https://openalex.org/W2900116371","https://openalex.org/W2910985229","https://openalex.org/W2932622834","https://openalex.org/W2944819622","https://openalex.org/W2958439762","https://openalex.org/W2960224263","https://openalex.org/W2963840171","https://openalex.org/W2971719842","https://openalex.org/W2990307067","https://openalex.org/W2998861641","https://openalex.org/W6655788252"],"related_works":["https://openalex.org/W2007263266","https://openalex.org/W2368814124","https://openalex.org/W2038952732","https://openalex.org/W2095235577","https://openalex.org/W2366084899","https://openalex.org/W2546986053","https://openalex.org/W2275177007","https://openalex.org/W2809636276","https://openalex.org/W2014214892","https://openalex.org/W2898404423"],"abstract_inverted_index":{"In":[0,60],"this":[1],"paper,":[2],"we":[3,63],"propose":[4],"distance-based":[5,27,33],"mean":[6,28,34],"filter":[7],"(DBMF)":[8],"to":[9],"remove":[10,106],"the":[11,20,61,69,90,95],"salt":[12],"and":[13,94,112],"pepper":[14],"noise.":[15],"Although":[16],"DBMF":[17,54,82,103],"also":[18,44,77],"uses":[19,26],"adaptive":[21],"conditions":[22],"like":[23],"AMF,":[24],"it":[25],"instead":[29],"of":[30,38,68,81],"median.":[31],"The":[32,99],"focuses":[35],"on":[36,41,65,89],"similarity":[37,97],"pixels":[39,47],"based":[40,88],"distance.":[42],"It":[43],"skips":[45],"noisy":[46],"from":[48],"evaluating":[49],"new":[50],"gray":[51],"value.":[52],"Hence,":[53],"works":[55],"more":[56],"effectively":[57,105],"than":[58],"AMF.":[59],"experiments,":[62],"test":[64],"20":[66],"images":[67],"MATLAB":[70],"library":[71],"with":[72,83,108],"various":[73,109],"noise":[74,107,110],"levels.":[75],"We":[76],"compare":[78],"denoising":[79,86],"results":[80,100],"other":[84,114],"similar":[85],"methods":[87],"peak":[91],"signal-to-noise":[92],"ratio":[93],"structure":[96],"metrics.":[98],"showed":[101],"that":[102],"can":[104],"levels":[111],"outperforms":[113],"methods.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}