{"id":"https://openalex.org/W2435671831","doi":"https://doi.org/10.1109/ncvpripg.2015.7490011","title":"An enhanced decision based Unsymmetric Trimmed Median Filter for removal of high density salt and papper noise","display_name":"An enhanced decision based Unsymmetric Trimmed Median Filter for removal of high density salt and papper noise","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2435671831","doi":"https://doi.org/10.1109/ncvpripg.2015.7490011","mag":"2435671831"},"language":"en","primary_location":{"id":"doi:10.1109/ncvpripg.2015.7490011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2015.7490011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","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/A5009455186","display_name":"Shruti Singh","orcid":"https://orcid.org/0000-0002-9751-8513"},"institutions":[{"id":"https://openalex.org/I33552525","display_name":"LNM Institute of Information Technology","ror":"https://ror.org/03jp7rg16","country_code":"IN","type":"education","lineage":["https://openalex.org/I33552525"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shruti Singh","raw_affiliation_strings":["The LNM Institute of Information Technology, Jaipur, India"],"affiliations":[{"raw_affiliation_string":"The LNM Institute of Information Technology, Jaipur, India","institution_ids":["https://openalex.org/I33552525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103471633","display_name":"Anil Kumar Tiwari","orcid":"https://orcid.org/0000-0002-3041-519X"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anil Kumar Tiwari","raw_affiliation_strings":["Indian Institute of Technology Jodhpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur, India","institution_ids":["https://openalex.org/I154549908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009455186"],"corresponding_institution_ids":["https://openalex.org/I33552525"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63059864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"4"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9965000152587891,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.9126409292221069},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.6620071530342102},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.6331105828285217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.609302818775177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5851837992668152},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5627423524856567},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5376788973808289},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.465024471282959},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44785621762275696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32645782828330994},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27338171005249023},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22115102410316467}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.9126409292221069},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.6620071530342102},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.6331105828285217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.609302818775177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5851837992668152},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5627423524856567},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5376788973808289},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.465024471282959},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44785621762275696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32645782828330994},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27338171005249023},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22115102410316467},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncvpripg.2015.7490011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2015.7490011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1580963329","https://openalex.org/W1601760457","https://openalex.org/W1987188502","https://openalex.org/W1991778656","https://openalex.org/W2007406620","https://openalex.org/W2098615715","https://openalex.org/W2122374500","https://openalex.org/W2127078478","https://openalex.org/W2137263041","https://openalex.org/W2139306706","https://openalex.org/W2142781271","https://openalex.org/W2148358298","https://openalex.org/W2171743875","https://openalex.org/W2925117202","https://openalex.org/W4236844765","https://openalex.org/W6678619871","https://openalex.org/W6681103023"],"related_works":["https://openalex.org/W2007263266","https://openalex.org/W2368814124","https://openalex.org/W2038952732","https://openalex.org/W2095235577","https://openalex.org/W2366084899","https://openalex.org/W2546986053","https://openalex.org/W2275177007","https://openalex.org/W2142282799","https://openalex.org/W2381134254","https://openalex.org/W2370426617"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,22,40],"new":[4],"algorithm":[5],"for":[6],"restoration":[7],"of":[8,47,65],"gray":[9],"scale":[10],"images":[11],"corrupted":[12],"by":[13],"salt":[14],"and":[15,34,49,106,130],"pepper":[16],"noise(SPN).":[17],"The":[18,89],"proposed":[19,90],"algoritm":[20],"identifies":[21],"pixel":[23,54],"as":[24,116],"noisy":[25,48,72,104],"if":[26,70],"its":[27],"intensity":[28],"value":[29,64,82],"is":[30,58,83],"0":[31],"or":[32],"255":[33],"processes":[35],"it":[36],"using":[37],"pixels":[38,73,97,105],"in":[39,76,98,122],"3\u00d73":[41],"window.":[42],"If":[43],"the":[44,53,61,66,77,87,95,99,103],"window":[45,78,100],"consists":[46],"non-noisy":[50,67],"pixels,":[51],"then":[52,79],"to":[55,85,118,133],"be":[56],"processed":[57,93],"replaced":[59],"with":[60],"trimmed":[62],"median":[63],"pixels.":[68],"However,":[69],"only":[71],"are":[74],"there":[75],"their":[80],"mean":[81],"used":[84],"process":[86],"pixel.":[88],"method":[91],"uses":[92],"(i.e.":[94],"de-noised)":[96],"while":[101],"processing":[102],"shows":[107],"significantly":[108],"better":[109],"performance,":[110],"particularly":[111],"at":[112],"high":[113],"noise":[114],"density,":[115],"compared":[117,132],"various":[119],"methods":[120],"reported":[121,135],"literature.":[123],"Experimental":[124],"results":[125],"show":[126],"improvements":[127],"both":[128],"visually":[129],"quantitatively":[131],"other":[134],"methods.":[136]},"counts_by_year":[{"year":2023,"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"}
