{"id":"https://openalex.org/W2541849379","doi":"https://doi.org/10.1109/retis.2011.6146887","title":"Edge preserving restoration of random valued impulse noises (EPRRVIN)","display_name":"Edge preserving restoration of random valued impulse noises (EPRRVIN)","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2541849379","doi":"https://doi.org/10.1109/retis.2011.6146887","mag":"2541849379"},"language":"en","primary_location":{"id":"doi:10.1109/retis.2011.6146887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/retis.2011.6146887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Recent Trends in Information Systems","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/A5070896564","display_name":"Jyotsna Kumar Mandal","orcid":"https://orcid.org/0000-0001-9447-647X"},"institutions":[{"id":"https://openalex.org/I77501641","display_name":"University of Kalyani","ror":"https://ror.org/03v783k16","country_code":"IN","type":"education","lineage":["https://openalex.org/I77501641"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J. K. Mandal","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India","institution_ids":["https://openalex.org/I77501641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101947533","display_name":"Somnath Mukhopadhyay","orcid":"https://orcid.org/0000-0002-4532-6245"},"institutions":[{"id":"https://openalex.org/I77501641","display_name":"University of Kalyani","ror":"https://ror.org/03v783k16","country_code":"IN","type":"education","lineage":["https://openalex.org/I77501641"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Somnath Mukhopadhyay","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India","institution_ids":["https://openalex.org/I77501641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7851,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78317799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"309","last_page":"314"},"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":0.9912999868392944,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8666402697563171},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.6726748943328857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6541194319725037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6297014355659485},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5896995067596436},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.5711577534675598},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5103911757469177},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.46156635880470276},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.45470672845840454},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.43489718437194824},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42474913597106934},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41719263792037964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4025457799434662},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37091875076293945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3487595021724701},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2841770052909851},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2591996192932129}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8666402697563171},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.6726748943328857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6541194319725037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297014355659485},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5896995067596436},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.5711577534675598},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5103911757469177},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.46156635880470276},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.45470672845840454},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.43489718437194824},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42474913597106934},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41719263792037964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4025457799434662},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37091875076293945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3487595021724701},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2841770052909851},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2591996192932129},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/retis.2011.6146887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/retis.2011.6146887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Recent Trends in Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5799999833106995,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2050748332","https://openalex.org/W2065958844","https://openalex.org/W2081933987","https://openalex.org/W2090356242","https://openalex.org/W2094903560","https://openalex.org/W2112907544","https://openalex.org/W2120006332","https://openalex.org/W2124139674","https://openalex.org/W2128436821","https://openalex.org/W2136452074","https://openalex.org/W2153238173","https://openalex.org/W2159558889","https://openalex.org/W2162276649","https://openalex.org/W2167707673","https://openalex.org/W2169733476","https://openalex.org/W2534633424"],"related_works":["https://openalex.org/W2953655071","https://openalex.org/W2082346846","https://openalex.org/W1119536157","https://openalex.org/W2359002434","https://openalex.org/W2038711438","https://openalex.org/W2034977280","https://openalex.org/W2034132756","https://openalex.org/W892310655","https://openalex.org/W2350393143","https://openalex.org/W351749443"],"abstract_inverted_index":{"To":[0,108],"remove":[1],"random":[2],"valued":[3],"impulse":[4],"noise":[5],"from":[6],"the":[7,25,29,62,66,71,110,140,152],"digital":[8,137],"images,":[9],"a":[10,48,92,112,124],"novel":[11],"two":[12],"step":[13,20],"method":[14],"has":[15,83,116],"been":[16,84,106,117],"proposed.":[17],"The":[18,53,143],"first":[19],"is":[21,34,39],"to":[22],"classify":[23],"whether":[24],"center":[26,72],"pixel":[27,90],"in":[28,47,65,123,132,136,151],"5":[30,32,49,51,101,103],"\u00d7":[31,50,98,102],"window":[33,94],"noisy":[35,77,89],"or":[36],"not,":[37],"which":[38],"done":[40],"using":[41],"all":[42],"neighbor":[43],"directional":[44],"weighted":[45],"pixels":[46,63,78],"mask.":[52],"proposed":[54,85],"algorithm":[55,128,144],"performs":[56],"simple":[57],"arithmetic":[58],"absolute":[59],"differences":[60],"on":[61,119],"aligned":[64],"four":[67],"main":[68],"directions":[69],"with":[70],"pixel.":[73],"On":[74],"detection":[75],"of":[76,88,96,134],"an":[79],"advance":[80],"median":[81],"filter":[82],"for":[86],"restoration":[87],"where":[91],"variable":[93],"consisting":[95],"3":[97,99],"and":[100,149],"respectively":[104],"have":[105],"used.":[107],"optimize":[109],"results,":[111],"3-D":[113],"search":[114],"space":[115],"used":[118],"user":[120],"supplied":[121],"parameters":[122],"wide":[125],"range.":[126],"Proposed":[127],"obtains":[129],"better":[130],"results":[131],"suppression":[133],"RVIN":[135],"images":[138],"than":[139],"existing":[141],"operators.":[142],"also":[145],"preserves":[146],"fine":[147],"textures":[148],"details":[150],"restored":[153],"images.":[154]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
