{"id":"https://openalex.org/W2810331563","doi":"https://doi.org/10.1109/access.2018.2850518","title":"A New Unified Impulse Noise Removal Algorithm Using a New Reference Sequence-to-Sequence Similarity Detector","display_name":"A New Unified Impulse Noise Removal Algorithm Using a New Reference Sequence-to-Sequence Similarity Detector","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2810331563","doi":"https://doi.org/10.1109/access.2018.2850518","mag":"2810331563"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2850518","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2850518","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2850518","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069074343","display_name":"Karen Panetta","orcid":"https://orcid.org/0000-0001-9435-4536"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karen Panetta","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032811639","display_name":"Long Bao","orcid":"https://orcid.org/0000-0002-3496-8568"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Long Bao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3496-8568","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048285657","display_name":"Sos \u0421. Agaian","orcid":"https://orcid.org/0000-0003-4601-4507"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sos Agaian","raw_affiliation_strings":["Department of Computer Science, The City University of New York, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The City University of New York, New York, NY, USA","institution_ids":["https://openalex.org/I174216632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1445,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.83471227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"37225","last_page":"37236"},"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":0.9925000071525574,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.8010298013687134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6636391282081604},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.5909438133239746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5590652823448181},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5446268320083618},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5196189284324646},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5123997330665588},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5073656439781189},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.506876528263092},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49139276146888733},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48717066645622253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47123679518699646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4506452679634094},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.41263970732688904},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4103129506111145},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2476501762866974},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17543074488639832},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11198073625564575},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06503358483314514}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.8010298013687134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636391282081604},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.5909438133239746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5590652823448181},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5446268320083618},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5196189284324646},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5123997330665588},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5073656439781189},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.506876528263092},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49139276146888733},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48717066645622253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47123679518699646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4506452679634094},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.41263970732688904},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4103129506111145},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2476501762866974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17543074488639832},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11198073625564575},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06503358483314514},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2850518","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2850518","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:22349af17c2844589147146c3bb5826e","is_oa":true,"landing_page_url":"https://doaj.org/article/22349af17c2844589147146c3bb5826e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 37225-37236 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2850518","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2850518","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1499406874","https://openalex.org/W1560941629","https://openalex.org/W1676300045","https://openalex.org/W2006030461","https://openalex.org/W2012096408","https://openalex.org/W2014214892","https://openalex.org/W2020228770","https://openalex.org/W2023064276","https://openalex.org/W2027616686","https://openalex.org/W2036315407","https://openalex.org/W2043688705","https://openalex.org/W2051199380","https://openalex.org/W2051307112","https://openalex.org/W2052107321","https://openalex.org/W2056565096","https://openalex.org/W2067286461","https://openalex.org/W2071795438","https://openalex.org/W2090356242","https://openalex.org/W2137322495","https://openalex.org/W2152309571","https://openalex.org/W2154874354","https://openalex.org/W2157686118","https://openalex.org/W2161260884","https://openalex.org/W2165141499","https://openalex.org/W2171743875","https://openalex.org/W2249016826","https://openalex.org/W2298855392","https://openalex.org/W2299568280","https://openalex.org/W2324239198","https://openalex.org/W2376249854","https://openalex.org/W2407699283","https://openalex.org/W2495468480","https://openalex.org/W2581624718","https://openalex.org/W4298225755","https://openalex.org/W6713668205"],"related_works":["https://openalex.org/W2953655071","https://openalex.org/W2121479027","https://openalex.org/W2415066633","https://openalex.org/W1787910866","https://openalex.org/W2082346846","https://openalex.org/W2545973440","https://openalex.org/W2167707673","https://openalex.org/W2184939778","https://openalex.org/W2518478289","https://openalex.org/W2359002434"],"abstract_inverted_index":{"Existing":[0],"detectors":[1],"are":[2,119],"based":[3],"on":[4],"using":[5],"the":[6,24,45,75,79,89,108,122,127,135,141,148,153],"similarity":[7,25,37],"of":[8,29,47,69,129,155],"pixels":[9,30],"or":[10],"blocks":[11],"to":[12,31,43,65,150],"locate":[13,152],"noisy":[14],"pixels.":[15],"Alternatively,":[16],"this":[17,48,73,98,130],"paper":[18],"presents":[19],"an":[20,100],"approach":[21],"that":[22,140],"investigates":[23],"property":[26],"among":[27],"sequences":[28],"establish":[32],"a":[33,56,94],"new":[34,49,57,113],"reference":[35],"sequence-to-sequence":[36],"(RSSS)":[38],"impulse":[39,70,80,91],"noise":[40,92],"detector.":[41],"Then,":[42],"harness":[44],"advantages":[46],"RSSS":[50,76],"detector":[51,77],"in":[52,93,133],"high":[53],"detection":[54],"accuracy,":[55],"unified":[58],"image":[59],"denoising":[60],"algorithm":[61],"(RSSS-I)":[62],"is":[63,105],"introduced":[64],"remove":[66,88],"different":[67,85],"types":[68],"noise.":[71],"In":[72,97],"approach,":[74],"locates":[78],"noise,":[81,156],"and":[82,111,116,165],"then,":[83],"three":[84],"median":[86,103],"filters":[87,118],"detected":[90],"cascade":[95,131],"framework.":[96],"framework,":[99],"existing":[101,145],"weighted":[102],"filter":[104],"utilized":[106],"as":[107,121],"domain":[109],"filter,":[110],"two":[112],"directional":[114],"mean":[115],"\u201cextreme\u201dmedian":[117],"applied":[120],"post-filter.":[123],"Experimental":[124],"results":[125,138],"show":[126],"benefits":[128],"framework":[132],"improving":[134],"performance.":[136],"Comparison":[137],"demonstrate":[139],"RSSS-I":[142],"outperforms":[143],"several":[144],"methods":[146],"for":[147],"ability":[149],"accurately":[151],"positions":[154],"retain":[157],"edge":[158],"information,":[159],"inhibit":[160],"residual":[161],"artifacts":[162],"from":[163],"occurring,":[164],"generating":[166],"denoised":[167],"images":[168],"with":[169],"better":[170],"quality.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}