{"id":"https://openalex.org/W2992202077","doi":"https://doi.org/10.1109/kse.2019.8919364","title":"A Fast Denoising Algorithm for X-Ray Images with Variance Stabilizing Transform","display_name":"A Fast Denoising Algorithm for X-Ray Images with Variance Stabilizing Transform","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2992202077","doi":"https://doi.org/10.1109/kse.2019.8919364","mag":"2992202077"},"language":"en","primary_location":{"id":"doi:10.1109/kse.2019.8919364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2019.8919364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Knowledge and Systems Engineering (KSE)","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/A5101448975","display_name":"Nguyen Hoang Hai","orcid":"https://orcid.org/0000-0001-9086-3819"},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Nguyen Hoang Hai","raw_affiliation_strings":["Faculty of Information Technology, University of Science and Education, The University of Danang, Danang, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science and Education, The University of Danang, Danang, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088674960","display_name":"Dang N. H. Thanh","orcid":"https://orcid.org/0000-0003-2025-8319"},"institutions":[{"id":"https://openalex.org/I4210095101","display_name":"Hue University","ror":"https://ror.org/00qaa6j11","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210095101"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dang N. H. Thanh","raw_affiliation_strings":["Department of Information Technology, Hue College of Industry, Hue, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Hue College of Industry, Hue, Vietnam","institution_ids":["https://openalex.org/I4210095101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041473172","display_name":"Nguy\u1ec5n Ng\u1ecdc Hi\u1ec1n","orcid":"https://orcid.org/0000-0002-1262-6153"},"institutions":[{"id":"https://openalex.org/I4210160086","display_name":"Dong Thap University","ror":"https://ror.org/05h7nhz20","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210160086"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Ngoc Hien","raw_affiliation_strings":["Center of Occupational Skills Development, Dong Thap University, Cao Lanh, Vietnam"],"affiliations":[{"raw_affiliation_string":"Center of Occupational Skills Development, Dong Thap University, Cao Lanh, Vietnam","institution_ids":["https://openalex.org/I4210160086"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000630426","display_name":"Chinthaka Premachandra","orcid":"https://orcid.org/0000-0002-5775-5047"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chinthaka Premachandra","raw_affiliation_strings":["Department of Electronics Engineering, Shibaura Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017246903","display_name":"V. B. Surya Prasath","orcid":"https://orcid.org/0000-0001-7163-7453"},"institutions":[{"id":"https://openalex.org/I1285204247","display_name":"Cincinnati Children's Hospital Medical Center","ror":"https://ror.org/01hcyya48","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1285204247"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. B. Surya Prasath","raw_affiliation_strings":["Division of Biomedical Informatics, Cincinnati Children\u2019s Hospital Medical Center, Cincinnati, OH, USA","Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Informatics, Cincinnati Children\u2019s Hospital Medical Center, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I1285204247"]},{"raw_affiliation_string":"Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I1285204247"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101448975"],"corresponding_institution_ids":["https://openalex.org/I3129492623"],"apc_list":null,"apc_paid":null,"fwci":0.6073,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73140694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","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":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9983999729156494,"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":0.9952999949455261,"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-reduction","display_name":"Noise reduction","score":0.7914693355560303},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.6917983293533325},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6495944261550903},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.5918642282485962},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5869427919387817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5634096264839172},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5521383285522461},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.528745174407959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5284507274627686},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5266523361206055},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.4995303153991699},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4914325475692749},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4610729515552521},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4498519003391266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3689388930797577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34857648611068726}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7914693355560303},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.6917983293533325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6495944261550903},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.5918642282485962},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5869427919387817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5634096264839172},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5521383285522461},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.528745174407959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5284507274627686},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5266523361206055},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.4995303153991699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4914325475692749},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4610729515552521},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4498519003391266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3689388930797577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34857648611068726},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"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},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse.2019.8919364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2019.8919364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Knowledge and Systems Engineering (KSE)","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":20,"referenced_works":["https://openalex.org/W1006454278","https://openalex.org/W1579559187","https://openalex.org/W2021262032","https://openalex.org/W2057534182","https://openalex.org/W2098713549","https://openalex.org/W2103243046","https://openalex.org/W2103559027","https://openalex.org/W2110264793","https://openalex.org/W2133665775","https://openalex.org/W2142058898","https://openalex.org/W2148358298","https://openalex.org/W2294876837","https://openalex.org/W2343789953","https://openalex.org/W2394936045","https://openalex.org/W2506752412","https://openalex.org/W2900116371","https://openalex.org/W2900251658","https://openalex.org/W2958439762","https://openalex.org/W2966902600","https://openalex.org/W6711636808"],"related_works":["https://openalex.org/W2049004027","https://openalex.org/W2149705930","https://openalex.org/W2023249517","https://openalex.org/W2347419572","https://openalex.org/W2240596953","https://openalex.org/W3092481058","https://openalex.org/W2791488802","https://openalex.org/W2386074358","https://openalex.org/W146442843","https://openalex.org/W2516848555"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2],"fast":[3,35],"denoising":[4,36,50,71],"algorithm":[5,37],"for":[6],"X-Ray":[7],"images":[8,23],"with":[9],"variance":[10,14],"stabilizing":[11,15],"transformations.":[12],"The":[13],"transformations":[16],"are":[17],"used":[18],"to":[19,24],"transform":[20],"Poisson":[21],"noisy":[22,26],"Gaussian":[25],"images.":[27],"Therefore,":[28],"we":[29,48],"can":[30],"utilize":[31],"advantages":[32],"of":[33,44],"the":[34,40,53,58],"based":[38],"on":[39],"alternative":[41],"direction":[42],"method":[43,67],"multipliers.":[45],"In":[46],"experiments,":[47],"evaluate":[49],"quality":[51],"by":[52],"Peak":[54],"signal-to-noise":[55],"ratio":[56],"and":[57],"Structure":[59],"Similarity":[60],"metrics.":[61],"Comparing":[62],"results":[63],"show":[64],"that":[65],"our":[66],"outperforms":[68],"other":[69],"similar":[70],"methods.":[72]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}