{"id":"https://openalex.org/W2390017112","doi":"https://doi.org/10.1109/icics.2015.7459883","title":"Removal of Gaussian noise with non-uniform total variation partition","display_name":"Removal of Gaussian noise with non-uniform total variation partition","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2390017112","doi":"https://doi.org/10.1109/icics.2015.7459883","mag":"2390017112"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2015.7459883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2015.7459883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th International Conference on Information, Communications and Signal Processing (ICICS)","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/A5076355555","display_name":"Lianghan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Lianghan Hu","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macao, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068926783","display_name":"U KinTak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"U KinTak","raw_affiliation_strings":["Macau University of Science and Technology, Taipa, Macau, MO"],"affiliations":[{"raw_affiliation_string":"Macau University of Science and Technology, Taipa, Macau, MO","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076355555"],"corresponding_institution_ids":["https://openalex.org/I111950717"],"apc_list":null,"apc_paid":null,"fwci":0.41747325,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72457377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","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":0.9995999932289124,"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":0.9995999932289124,"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":0.9955999851226807,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.8456916213035583},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5994958877563477},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5811440944671631},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5267072319984436},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5102252960205078},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4938414692878723},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4805901050567627},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.47583937644958496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45773911476135254},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.45218342542648315},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.4465760290622711},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3583679795265198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32391557097435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31850630044937134},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06441548466682434}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.8456916213035583},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5994958877563477},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5811440944671631},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5267072319984436},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5102252960205078},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4938414692878723},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4805901050567627},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.47583937644958496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45773911476135254},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.45218342542648315},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.4465760290622711},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3583679795265198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32391557097435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31850630044937134},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06441548466682434},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2015.7459883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2015.7459883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th International Conference on Information, Communications and Signal Processing (ICICS)","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":6,"referenced_works":["https://openalex.org/W2039939700","https://openalex.org/W2049471222","https://openalex.org/W2076402846","https://openalex.org/W2084650996","https://openalex.org/W2136017820","https://openalex.org/W2139582546"],"related_works":["https://openalex.org/W2387796150","https://openalex.org/W1987356308","https://openalex.org/W2495078643","https://openalex.org/W233850645","https://openalex.org/W2586189899","https://openalex.org/W4297054500","https://openalex.org/W2905381360","https://openalex.org/W2775199232","https://openalex.org/W2182902227","https://openalex.org/W4318953160"],"abstract_inverted_index":{"Non-uniform":[0],"Partition":[1],"(NUP)":[2],"and":[3,43,58,95,143],"Total":[4],"Variation":[5],"(TV)":[6],"are":[7,22,97],"both":[8],"effective":[9],"Gaussian":[10,37],"denoising":[11,17,30,38,51,103,137,145],"algorithms":[12],"than":[13,139],"many":[14],"other":[15],"common":[16],"algorithms,":[18],"but":[19],"some":[20],"defects":[21],"still":[23],"existing":[24],"in":[25,87,123],"them":[26],"thus":[27],"reducing":[28],"their":[29],"performance.":[31],"In":[32,90],"this":[33,91],"paper,":[34],"a":[35,49,67],"novel":[36],"algorithm":[39,52,134],"based":[40],"on":[41],"NUP":[42,88,96,124,142],"TV":[44,47,94,102,144],"is":[45,48,66,78,83,125],"proposed.":[46],"global":[50],"which":[53],"uses":[54],"the":[55,84,108,116,120,132,140],"same":[56],"parameters":[57],"criteria":[59],"to":[60,107],"remove":[61],"noise":[62],"no":[63],"matter":[64],"it":[65],"smooth":[68],"or":[69],"complex":[70],"region,":[71],"so":[72,100],"its":[73],"texture":[74],"detail":[75],"recovering":[76],"ability":[77],"not":[79],"strong.":[80],"Square":[81],"effect":[82,122],"main":[85],"problem":[86],"denoising.":[89],"proposed":[92,133],"algorithm,":[93],"combined":[98],"together":[99],"that":[101,131],"can":[104],"be":[105],"applied":[106],"partitions":[109],"with":[110],"different":[111],"complexity.":[112],"And":[113],"by":[114],"applying":[115],"Interpolation":[117],"Relaxation":[118],"technique,":[119],"square":[121],"improved.":[126],"The":[127],"experimental":[128],"results":[129],"show":[130],"owns":[135],"better":[136],"performance":[138],"original":[141],"algorithm.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
