{"id":"https://openalex.org/W2897232056","doi":"https://doi.org/10.1186/s13640-018-0346-y","title":"Improved preclassification non local-means (IPNLM) for filtering of grayscale images degraded with additive white Gaussian noise","display_name":"Improved preclassification non local-means (IPNLM) for filtering of grayscale images degraded with additive white Gaussian noise","publication_year":2018,"publication_date":"2018-10-16","ids":{"openalex":"https://openalex.org/W2897232056","doi":"https://doi.org/10.1186/s13640-018-0346-y","mag":"2897232056"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-018-0346-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0346-y","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0346-y","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0346-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009750082","display_name":"Isabel V. Hern\u00e1ndez-Guti\u00e9rrez","orcid":null},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Isabel V Hern\u00e1ndez-Guti\u00e9rrez","raw_affiliation_strings":["Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso; SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso; SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","institution_ids":["https://openalex.org/I59361560"]},{"raw_affiliation_string":"SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","institution_ids":[]},{"raw_affiliation_string":"Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089804378","display_name":"Francisco J. Gallegos\u2010Funes","orcid":"https://orcid.org/0000-0002-4854-6438"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Francisco J Gallegos-Funes","raw_affiliation_strings":["Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso; SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso; SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","institution_ids":["https://openalex.org/I59361560"]},{"raw_affiliation_string":"SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","institution_ids":[]},{"raw_affiliation_string":"Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067875918","display_name":"Alberto Rosales","orcid":"https://orcid.org/0000-0001-8436-3025"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Alberto J Rosales-Silva","raw_affiliation_strings":["Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso; SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso; SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","institution_ids":["https://openalex.org/I59361560"]},{"raw_affiliation_string":"SEPI-Electr\u00f3nica, Col. Lindavista, 07738, Ciudad de M\u00e9xico, Mexico","institution_ids":[]},{"raw_affiliation_string":"Escuela Superior de Ingenier\u00eda Mec\u00e1nica y El\u00e9ctrica, Instituto Polit\u00e9cnico Nacional, Av. IPN s/n, Edificio Z, acceso 4, 3er piso","institution_ids":["https://openalex.org/I59361560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009750082"],"corresponding_institution_ids":["https://openalex.org/I59361560"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.106,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.46847008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987000226974487,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9944999814033508,"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/grayscale","display_name":"Grayscale","score":0.7955090999603271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6443800330162048},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6435953378677368},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6378945112228394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5799450874328613},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.5343922972679138},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5211567878723145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5161265134811401},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4916902184486389},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.46368780732154846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46068882942199707},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4577734172344208},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4449394643306732},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42678114771842957},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.39111408591270447},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37435683608055115},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2883516550064087},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1686355471611023}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.7955090999603271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6443800330162048},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6435953378677368},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6378945112228394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5799450874328613},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.5343922972679138},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5211567878723145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5161265134811401},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4916902184486389},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.46368780732154846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46068882942199707},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4577734172344208},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4449394643306732},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42678114771842957},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.39111408591270447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37435683608055115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2883516550064087},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1686355471611023}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-018-0346-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0346-y","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0346-y","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:51d72ed243e44589a6a28e37fc676a60","is_oa":true,"landing_page_url":"https://doaj.org/article/51d72ed243e44589a6a28e37fc676a60","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":"EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-14 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-018-0346-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0346-y","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0346-y","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5651866420","display_name":null,"funder_award_id":"240820","funder_id":"https://openalex.org/F4320321739","funder_display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda"}],"funders":[{"id":"https://openalex.org/F4320321694","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34"},{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2897232056.pdf","grobid_xml":"https://content.openalex.org/works/W2897232056.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W362758057","https://openalex.org/W975599832","https://openalex.org/W1507014905","https://openalex.org/W1509559396","https://openalex.org/W1978284443","https://openalex.org/W2009371568","https://openalex.org/W2026794295","https://openalex.org/W2028851068","https://openalex.org/W2037366513","https://openalex.org/W2041625018","https://openalex.org/W2046763182","https://openalex.org/W2059424622","https://openalex.org/W2062515778","https://openalex.org/W2067681708","https://openalex.org/W2073660032","https://openalex.org/W2102808122","https://openalex.org/W2108382860","https://openalex.org/W2113587591","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2142592339","https://openalex.org/W2196103734","https://openalex.org/W2197312531","https://openalex.org/W2288563052","https://openalex.org/W2324915430","https://openalex.org/W2328637565","https://openalex.org/W2433693374","https://openalex.org/W2468208516","https://openalex.org/W2509292678","https://openalex.org/W2511551071","https://openalex.org/W2547052716","https://openalex.org/W2671303007","https://openalex.org/W2804792817","https://openalex.org/W4247537352","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1911817635","https://openalex.org/W2074565401","https://openalex.org/W2810224748","https://openalex.org/W2011915004","https://openalex.org/W2353656796","https://openalex.org/W1607924090","https://openalex.org/W1967187784","https://openalex.org/W2242778450","https://openalex.org/W2380803194","https://openalex.org/W4210755818"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,82],"develop":[4],"an":[5,143],"extensive":[6],"research":[7,55],"on":[8,20,60,74,151,196],"different":[9,21],"types":[10],"of":[11,34,64,78,124,155],"grayscale":[12,92],"images":[13,93],"applying":[14],"standard":[15,80,153,232],"non":[16,87],"local":[17,157],"(NL)-means":[18],"algorithm":[19,216],"search":[22,109],"and":[23,44,169,182,208,234],"patch":[24],"windows":[25,66],"sizes":[26,67],"to":[27,115,121,127,165],"obtain":[28],"optimal":[29,76],"parameters":[30,77],"where":[31],"the":[32,51,58,61,65,70,75,79,84,112,122,130,152,156,160,167,179,183,200,203,220,231],"values":[33],"criteria":[35],"peak":[36],"signal-to-noise":[37],"ratio":[38],"(PSNR),":[39],"mean":[40],"absolute":[41],"error":[42],"(MAE),":[43],"structural":[45],"similarity":[46],"index":[47],"(SSIM)":[48],"would":[49],"be":[50],"best":[52],"possible.":[53],"The":[54,101,186],"shows":[56],"quantitatively":[57],"importance":[59],"appropriate":[62],"selection":[63],"used":[68],"during":[69],"filtering":[71,91,172],"process.":[72],"Based":[73],"NL-means,":[81],"propose":[83],"improved":[85],"preclassification":[86,119],"local-means":[88],"(IPNLM)":[89],"for":[90,107],"degraded":[94],"with":[95,230],"additive":[96],"white":[97],"Gaussian":[98],"noise":[99,204],"(AWGN).":[100],"proposal":[102,187],"uses":[103],"a":[104,136,171,176],"descriptors":[105],"evaluation":[106],"each":[108,125],"window":[110,126],"in":[111,135,142,159,228],"noisy":[113,132,161],"image":[114,162,180],"apply":[116],"statistical":[117],"neighborhood":[118],"respect":[120],"homogeneity":[123],"distinguish":[128],"whether":[129],"current":[131],"pixel":[133],"is":[134,141],"homogeneous":[137],"region":[138,158],"or":[139],"it":[140],"edge":[144],"object":[145],"region.":[146],"Also,":[147],"two":[148],"thresholds":[149],"based":[150,195],"deviation":[154],"are":[163],"proposed":[164],"classify":[166],"pixels":[168],"perform":[170],"level":[173],"degree":[174],"providing":[175],"commitment":[177],"between":[178,202],"denoising":[181],"processing":[184,209,221],"time.":[185,210],"IPNLM":[188,215],"reveals":[189],"good":[190],"results":[191,212],"outperforming":[192],"other":[193,235],"filters":[194],"NL-means":[197,233],"by":[198],"balancing":[199],"tradeoff":[201],"suppression,":[205],"detail":[206],"preservation,":[207],"Experimental":[211],"demonstrate":[213],"that":[214],"can":[217],"reduce":[218],"considerably":[219],"time":[222],"from":[223],"8":[224],"through":[225],"15":[226],"times":[227],"comparison":[229],"analyzed":[236],"filters.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}