{"id":"https://openalex.org/W3003627634","doi":"https://doi.org/10.1109/globalsip45357.2019.8969112","title":"A Fast Iterative Method for Removing Sparse Noise from Sparse Signals","display_name":"A Fast Iterative Method for Removing Sparse Noise from Sparse Signals","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3003627634","doi":"https://doi.org/10.1109/globalsip45357.2019.8969112","mag":"3003627634"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip45357.2019.8969112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5033724667","display_name":"Sahar Sadrizadeh","orcid":"https://orcid.org/0000-0002-1890-3377"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Sahar Sadrizadeh","raw_affiliation_strings":["EE Dept., Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"EE Dept., Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037691869","display_name":"Nematollah Zarmehi","orcid":"https://orcid.org/0000-0002-9208-2941"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Nematollah Zarmehi","raw_affiliation_strings":["EE Dept., Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"EE Dept., Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069159448","display_name":"Farokh Marvasti","orcid":"https://orcid.org/0000-0002-4635-8986"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Farokh Marvasti","raw_affiliation_strings":["EE Dept., Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"EE Dept., Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025079359","display_name":"Saeed Gazor","orcid":"https://orcid.org/0000-0003-4368-6682"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Saeed Gazor","raw_affiliation_strings":["ECE Dept., Queen\u2019s University, Ontario, Canada","ECE Dept., Queen's University, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"ECE Dept., Queen\u2019s University, Ontario, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"ECE Dept., Queen's University, Ontario, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033724667"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.3317,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58788511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987999796867371,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.6902121305465698},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6880514025688171},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.60980623960495},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5003657341003418},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.49055904150009155},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4651675224304199},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4354780614376068},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.42892730236053467},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.41880926489830017},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.41391897201538086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3953062891960144},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.2424597144126892},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20726892352104187},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.15608921647071838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902121305465698},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6880514025688171},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.60980623960495},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5003657341003418},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.49055904150009155},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4651675224304199},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4354780614376068},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.42892730236053467},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.41880926489830017},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.41391897201538086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3953062891960144},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.2424597144126892},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20726892352104187},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.15608921647071838},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip45357.2019.8969112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2038082577","https://openalex.org/W2055054213","https://openalex.org/W2093900566","https://openalex.org/W2124139674","https://openalex.org/W2148358298","https://openalex.org/W2150427434","https://openalex.org/W2337501905","https://openalex.org/W2529570353","https://openalex.org/W2767579567","https://openalex.org/W2808124409","https://openalex.org/W2895722766","https://openalex.org/W2899068566","https://openalex.org/W2899341519","https://openalex.org/W3003627634","https://openalex.org/W3105937733"],"related_works":["https://openalex.org/W2364780020","https://openalex.org/W2027616686","https://openalex.org/W2120405331","https://openalex.org/W2364070087","https://openalex.org/W2464903433","https://openalex.org/W2116036791","https://openalex.org/W4386739150","https://openalex.org/W2811019791","https://openalex.org/W2090859501","https://openalex.org/W2960360058"],"abstract_inverted_index":{"Reconstructing":[0],"a":[1,36,41],"signal":[2,43,46],"corrupted":[3],"by":[4],"impulsive":[5,15,60],"noise":[6,16,48,61],"is":[7,91],"of":[8,107],"high":[9],"importance":[10],"in":[11,31,52,82,105],"several":[12],"applications,":[13],"including":[14],"removal":[17,71],"from":[18,26,72],"images,":[19],"audios":[20],"and":[21,23,47,66,74,95],"videos,":[22],"separating":[24],"texts":[25],"images.":[27],"Investigating":[28],"this":[29,32],"problem,":[30],"paper":[33],"we":[34],"propose":[35],"new":[37],"method":[38],"to":[39],"reconstruct":[40],"noise-corrupted":[42],"where":[44],"both":[45],"are":[49],"sparse":[50],"but":[51,97],"different":[53],"domains.":[54],"We":[55],"apply":[56],"our":[57,76,89],"algorithm":[58,90],"for":[59],"(Salt-":[62],"and-Pepper":[63],"Noise":[64,69],"(SPN)":[65],"Random-Valued":[67],"Impulsive":[68],"(RVIN))":[70],"images":[73],"compare":[75],"results":[77],"with":[78],"other":[79,102],"notable":[80],"algorithms":[81],"the":[83,101],"literature.":[84],"Simulation":[85],"indicates":[86],"show":[87],"that":[88],"not":[92],"only":[93],"simple":[94],"fast,":[96],"also":[98],"it":[99],"outperforms":[100],"state-of-the-art":[103],"methods":[104],"terms":[106],"reconstruction":[108],"quality":[109],"and/or":[110],"complexity.":[111]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}