{"id":"https://openalex.org/W2612273246","doi":"https://doi.org/10.1109/icit.2017.7915493","title":"A quantitative method for selecting denoising filters, based on a new edge-sensitive metric","display_name":"A quantitative method for selecting denoising filters, based on a new edge-sensitive metric","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2612273246","doi":"https://doi.org/10.1109/icit.2017.7915493","mag":"2612273246"},"language":"en","primary_location":{"id":"doi:10.1109/icit.2017.7915493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2017.7915493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Industrial Technology (ICIT)","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/A5008674624","display_name":"Javier L\u00f3pez-Randulfe","orcid":"https://orcid.org/0000-0002-6922-6951"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Javier Lopez-Randulfe","raw_affiliation_strings":["Department of Electronic Technology, University of Vigo, Vigo, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Technology, University of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073894327","display_name":"C\u00e9sar Veiga","orcid":"https://orcid.org/0000-0003-4165-5049"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cesar Veiga","raw_affiliation_strings":["Instituto de Investigaci\u00f3n Sanitaria Galicia Sur (IISGS), Vigo, Spain"],"affiliations":[{"raw_affiliation_string":"Instituto de Investigaci\u00f3n Sanitaria Galicia Sur (IISGS), Vigo, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057597956","display_name":"Juan J. Rodr\u00edguez-Andina","orcid":"https://orcid.org/0000-0002-0919-1793"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan J. Rodriguez-Andina","raw_affiliation_strings":["Department of Electronic Technology, University of Vigo, Vigo, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Technology, University of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033547039","display_name":"Jos\u00e9 Fari\u00f1a","orcid":"https://orcid.org/0000-0002-7425-7541"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Farina","raw_affiliation_strings":["Department of Electronic Technology, University of Vigo, Vigo, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Technology, University of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008674624"],"corresponding_institution_ids":["https://openalex.org/I6289922"],"apc_list":null,"apc_paid":null,"fwci":0.2051,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.55305209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"974","last_page":"979"},"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":0.9976999759674072,"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":0.9970999956130981,"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/sharpening","display_name":"Sharpening","score":0.8282968401908875},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.684203028678894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.664573073387146},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6609370708465576},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6407629251480103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6181037425994873},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.6115400791168213},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6092660427093506},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.584173858165741},{"id":"https://openalex.org/keywords/edge-preserving-smoothing","display_name":"Edge-preserving smoothing","score":0.5787320733070374},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5648412108421326},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5341749787330627},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5310298204421997},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5012609958648682},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.49695566296577454},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4616242051124573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4544411897659302},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.44904980063438416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40012064576148987},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07397589087486267}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8282968401908875},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.684203028678894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.664573073387146},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6609370708465576},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6407629251480103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6181037425994873},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.6115400791168213},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6092660427093506},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.584173858165741},{"id":"https://openalex.org/C141651230","wikidata":"https://www.wikidata.org/wiki/Q5337637","display_name":"Edge-preserving smoothing","level":4,"score":0.5787320733070374},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5648412108421326},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5341749787330627},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5310298204421997},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5012609958648682},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.49695566296577454},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4616242051124573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4544411897659302},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.44904980063438416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40012064576148987},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07397589087486267},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit.2017.7915493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2017.7915493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W787382797","https://openalex.org/W1514812871","https://openalex.org/W1973207880","https://openalex.org/W1996280162","https://openalex.org/W1997147589","https://openalex.org/W2001088769","https://openalex.org/W2005089986","https://openalex.org/W2048501829","https://openalex.org/W2049909233","https://openalex.org/W2052491606","https://openalex.org/W2083799719","https://openalex.org/W2089453972","https://openalex.org/W2097073572","https://openalex.org/W2103559027","https://openalex.org/W2117294245","https://openalex.org/W2130094715","https://openalex.org/W2133665775","https://openalex.org/W2150134853","https://openalex.org/W2161907179","https://openalex.org/W2195101915","https://openalex.org/W2288581620","https://openalex.org/W4229921563"],"related_works":["https://openalex.org/W2100925004","https://openalex.org/W1976863416","https://openalex.org/W2274012195","https://openalex.org/W2374439143","https://openalex.org/W2536791468","https://openalex.org/W2552010366","https://openalex.org/W2003560346","https://openalex.org/W1559763430","https://openalex.org/W1510751240","https://openalex.org/W2790241057"],"abstract_inverted_index":{"Noise":[0],"removal":[1],"is":[2,13,37,58,133,175],"a":[3,59,74,123,138,194],"fundamental":[4],"requirement":[5],"for":[6,62,95,112,125,143],"many":[7],"image":[8,33,67,98,181],"processing":[9],"applications.":[10],"Its":[11],"goal":[12],"filtering":[14],"noise":[15],"from":[16],"images":[17,158],"while":[18,192],"preserving":[19],"integrity":[20],"of":[21,32,38,50,80],"fine":[22],"details":[23],"and":[24,149,159,165,196],"edges.":[25,119,147],"In":[26,45],"order":[27],"to":[28,41,155,178,188],"assess":[29,179],"the":[30,48,64,78,81,113,127,166,172],"quality":[31,79,110,182],"denoising":[34,68,99],"algorithms,":[35],"it":[36,72],"paramount":[39],"importance":[40],"use":[42,49],"suitable":[43,66,94,177],"metrics.":[44],"other":[46],"words,":[47],"an":[51],"appropriate":[52],"Image":[53],"Quality":[54],"Assessment":[55],"(IQA)":[56],"procedure":[57],"key":[60],"factor":[61],"selecting":[63,96,126],"most":[65],"filter":[69,129,144],"and,":[70],"hence,":[71],"has":[73],"major":[75],"impact":[76],"on":[77,136],"final":[82,180],"image.":[83],"This":[84],"paper":[85],"demonstrates":[86],"that":[87,141,171],"currently":[88],"used":[89],"IQA":[90],"metrics":[91,164],"are":[92],"not":[93],"optimal":[97,128],"filters":[100],"when":[101,183],"edge":[102,184],"preservation":[103],"must":[104],"be":[105,189],"evaluated,":[106],"because":[107],"they":[108],"provide":[109],"figures":[111],"entire":[114],"image,":[115],"without":[116],"specifically":[117],"addressing":[118],"From":[120],"this":[121,131],"fact,":[122],"method":[124],"in":[130,146],"context":[132],"proposed,":[134],"based":[135],"minimizing":[137],"novel":[139],"metric":[140,174],"accounts":[142],"response":[145],"Smoothing":[148],"sharpening":[150],"algorithms":[151],"have":[152,187],"been":[153],"applied":[154],"different":[156],"noisy":[157],"then":[160],"evaluated":[161],"using":[162],"popular":[163],"proposed":[167],"one.":[168],"Results":[169],"show":[170],"new":[173],"more":[176],"deterioration":[185],"effects":[186],"accounted":[190],"for,":[191],"offering":[193],"simple":[195],"understandable":[197],"approach.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"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"}