{"id":"https://openalex.org/W2097094834","doi":"https://doi.org/10.1109/lsp.2008.2005047","title":"An Efficient Edge-Preserving Algorithm for Removal of Salt-and-Pepper Noise","display_name":"An Efficient Edge-Preserving Algorithm for Removal of Salt-and-Pepper Noise","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2097094834","doi":"https://doi.org/10.1109/lsp.2008.2005047","mag":"2097094834"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2008.2005047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2008.2005047","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-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/A5079051364","display_name":"Pei\u2010Yin Chen","orcid":"https://orcid.org/0000-0002-5104-6055"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]},{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pei-Yin Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chiao Tung University, Tainan, Taiwan","Department of Computer Science and Information Engineering National Cheng Kung University Tainan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiao Tung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering National Cheng Kung University Tainan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041390807","display_name":"Chih\u2010Yuan Lien","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]},{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Yuan Lien","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chiao Tung University, Tainan, Taiwan","Department of Computer Science and Information Engineering National Cheng Kung University Tainan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiao Tung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering National Cheng Kung University Tainan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.68,"has_fulltext":false,"cited_by_count":143,"citation_normalized_percentile":{"value":0.96192191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"15","issue":null,"first_page":"833","last_page":"836"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9933000206947327,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9869999885559082,"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":0.5909525752067566},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.538210391998291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5374605655670166},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4696079194545746},{"id":"https://openalex.org/keywords/pepper","display_name":"Pepper","score":0.44139552116394043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37208065390586853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32599377632141113},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.20892757177352905},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17731687426567078},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12437349557876587}],"concepts":[{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.5909525752067566},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.538210391998291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5374605655670166},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4696079194545746},{"id":"https://openalex.org/C2776242653","wikidata":"https://www.wikidata.org/wiki/Q22907699","display_name":"Pepper","level":2,"score":0.44139552116394043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37208065390586853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32599377632141113},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.20892757177352905},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17731687426567078},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12437349557876587},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2008.2005047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2008.2005047","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W42203131","https://openalex.org/W1987188502","https://openalex.org/W2033603511","https://openalex.org/W2034713765","https://openalex.org/W2055589702","https://openalex.org/W2098615715","https://openalex.org/W2118650485","https://openalex.org/W2122374500","https://openalex.org/W2122714239","https://openalex.org/W2125832591","https://openalex.org/W2127078478","https://openalex.org/W2134491294","https://openalex.org/W2142781271","https://openalex.org/W2162276649","https://openalex.org/W2169733476","https://openalex.org/W2476868371","https://openalex.org/W4236844765"],"related_works":["https://openalex.org/W303980170","https://openalex.org/W2351491280","https://openalex.org/W2386767533","https://openalex.org/W2374846826","https://openalex.org/W2371447506","https://openalex.org/W2357608137","https://openalex.org/W2347606733","https://openalex.org/W2383875555","https://openalex.org/W4285815275","https://openalex.org/W2386397442"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"a":[3],"novel":[4],"algorithm":[5,79],"for":[6],"removing":[7,74],"salt-and-pepper":[8],"noise":[9,20],"from":[10],"corrupted":[11],"images":[12],"is":[13,80,84],"presented.":[14],"We":[15],"employ":[16],"an":[17,28],"efficient":[18],"impulse":[19,61,75],"detector":[21],"to":[22,31,87,90],"detect":[23],"the":[24,33,65],"noisy":[25,37],"pixels,":[26],"and":[27,55],"edge-preserving":[29],"filter":[30],"reconstruct":[32],"intensity":[34],"values":[35],"of":[36,52],"pixels.":[38],"Extensive":[39],"experimental":[40],"results":[41],"demonstrate":[42],"that":[43],"our":[44,78],"method":[45,67],"can":[46,68],"obtain":[47],"better":[48],"performances":[49],"in":[50],"terms":[51],"both":[53],"subjective":[54],"objective":[56],"evaluations":[57],"than":[58],"those":[59],"state-of-the-art":[60],"denoising":[62],"techniques.":[63],"Especially,":[64],"proposed":[66],"preserve":[69],"edges":[70],"very":[71,85],"well":[72],"while":[73],"noise.":[76],"Since":[77],"algorithmically":[81],"simple,":[82],"it":[83],"suitable":[86],"be":[88],"applied":[89],"many":[91],"real-time":[92],"applications.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":13}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
