{"id":"https://openalex.org/W3011618023","doi":"https://doi.org/10.1109/ccwc47524.2020.9031200","title":"High Impulse Noise Intensity Removal in Natural Images Using Convolutional Neural Network","display_name":"High Impulse Noise Intensity Removal in Natural Images Using Convolutional Neural Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011618023","doi":"https://doi.org/10.1109/ccwc47524.2020.9031200","mag":"3011618023"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc47524.2020.9031200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc47524.2020.9031200","pdf_url":null,"source":{"id":"https://openalex.org/S4306498584","display_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5008690358","display_name":"Mehdi Mafi","orcid":"https://orcid.org/0000-0001-7223-2853"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehdi Mafi","raw_affiliation_strings":["Center for Advanced Technology and Education, Florida International University,Department of Electrical and Computer Engineering,Miami,FL,USA","Department of Electrical and Computer Engineering, Center for Advanced Technology and Education, Florida International University, Miami, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Technology and Education, Florida International University,Department of Electrical and Computer Engineering,Miami,FL,USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Center for Advanced Technology and Education, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010300287","display_name":"Walter Izquierdo","orcid":null},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter Izquierdo","raw_affiliation_strings":["Center for Advanced Technology and Education, Florida International University,Department of Electrical and Computer Engineering,Miami,FL,USA","Department of Electrical and Computer Engineering, Center for Advanced Technology and Education, Florida International University, Miami, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Technology and Education, Florida International University,Department of Electrical and Computer Engineering,Miami,FL,USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Center for Advanced Technology and Education, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049795323","display_name":"Malek Adjouadi","orcid":"https://orcid.org/0000-0001-5380-3155"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Malek Adjouadi","raw_affiliation_strings":["Center for Advanced Technology and Education, Florida International University,Department of Electrical and Computer Engineering,Miami,FL,USA","Department of Electrical and Computer Engineering, Center for Advanced Technology and Education, Florida International University, Miami, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Technology and Education, Florida International University,Department of Electrical and Computer Engineering,Miami,FL,USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Center for Advanced Technology and Education, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3277,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61546053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"0673","last_page":"0677"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/computer-science","display_name":"Computer science","score":0.7352118492126465},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7298344969749451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.716498613357544},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.688946008682251},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6393141746520996},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6271032691001892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5968749523162842},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5572115182876587},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5057311058044434},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43618693947792053},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4275881052017212},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4250229597091675},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41320011019706726},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3906093239784241},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35039448738098145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2509588599205017},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.1268180012702942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352118492126465},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7298344969749451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.716498613357544},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.688946008682251},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6393141746520996},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6271032691001892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5968749523162842},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5572115182876587},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5057311058044434},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43618693947792053},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4275881052017212},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4250229597091675},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41320011019706726},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3906093239784241},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35039448738098145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2509588599205017},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.1268180012702942},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc47524.2020.9031200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc47524.2020.9031200","pdf_url":null,"source":{"id":"https://openalex.org/S4306498584","display_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1211288344","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1883810235","https://openalex.org/W1970236216","https://openalex.org/W2012096408","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2142781271","https://openalex.org/W2143353635","https://openalex.org/W2146502635","https://openalex.org/W2148358298","https://openalex.org/W2171743875","https://openalex.org/W2466730538","https://openalex.org/W2508457857","https://openalex.org/W2536984347","https://openalex.org/W2562637781","https://openalex.org/W2618530766","https://openalex.org/W2784144374","https://openalex.org/W2886849145","https://openalex.org/W2905517584","https://openalex.org/W2949117887","https://openalex.org/W6638667902","https://openalex.org/W6681435938","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W1445015017","https://openalex.org/W2920938200","https://openalex.org/W2898044248","https://openalex.org/W2765889516","https://openalex.org/W2415731916","https://openalex.org/W2767097019","https://openalex.org/W2922421953","https://openalex.org/W2810384904","https://openalex.org/W2909406878","https://openalex.org/W2760840257"],"abstract_inverted_index":{"This":[0,21,37,79],"paper":[1],"introduces":[2],"a":[3,10,25,29,33,49,102],"new":[4],"image":[5,47,158],"smoothing":[6,22],"filter":[7,23],"based":[8],"on":[9],"feed-forward":[11],"convolutional":[12],"neural":[13],"network":[14,104],"(CNN)":[15],"in":[16,114,132,144],"presence":[17],"of":[18,75,126,138,146],"impulse":[19,77],"noise.":[20,78],"integrates":[24],"very":[26],"deep":[27],"architecture,":[28],"regularization":[30],"method,":[31],"and":[32,45,69,150,159],"batch":[34],"normalization":[35],"process.":[36],"fully":[38],"integrated":[39],"approach":[40],"yields":[41],"an":[42],"effectively":[43],"denoised":[44],"smoothed":[46],"yielding":[48],"high":[50,147],"similarity":[51,148],"measure":[52,149],"with":[53,85],"the":[54,66,73,76,92,109,115,122,133,156,163],"original":[55,157],"noise":[56,87],"free":[57],"image.":[58],"Specific":[59],"structural":[60,151],"metrics":[61,152],"are":[62,119,142],"used":[63],"to":[64,155,162],"assess":[65],"denoising":[67,169],"process":[68],"how":[70],"effective":[71],"was":[72],"removal":[74],"CNN":[80,97],"model":[81,98],"can":[82],"also":[83],"deal":[84],"other":[86],"levels":[88],"not":[89,130],"seen":[90,131],"during":[91],"training":[93,116,134],"phase.":[94,117,135],"The":[95,136],"proposed":[96,140],"is":[99],"constructed":[100],"through":[101],"20-layer":[103],"using":[105,121,167],"400":[106],"images":[107,129],"from":[108],"Berkeley":[110],"Segmentation":[111],"Dataset":[112],"(BSD)":[113],"Results":[118],"obtained":[120,166],"standard":[123],"testing":[124],"set":[125],"8":[127],"natural":[128],"merits":[137],"this":[139],"method":[141],"weighed":[143],"terms":[145],"that":[153],"conform":[154],"compare":[160],"favorably":[161],"different":[164],"results":[165],"state-of-art":[168],"filters.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
