{"id":"https://openalex.org/W3149616736","doi":"https://doi.org/10.1142/s0219467821500510","title":"Automated Image Denoising Model: Contribution Towards Optimized Internal and External Basis","display_name":"Automated Image Denoising Model: Contribution Towards Optimized Internal and External Basis","publication_year":2021,"publication_date":"2021-04-05","ids":{"openalex":"https://openalex.org/W3149616736","doi":"https://doi.org/10.1142/s0219467821500510","mag":"3149616736"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467821500510","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821500510","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5035026919","display_name":"S. Elavaar Kuzhali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Elavaar Kuzhali","raw_affiliation_strings":["Department of Electronics and Instrumentation Engineering, Ramaiah Institute of Technology, Bangalore, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Instrumentation Engineering, Ramaiah Institute of Technology, Bangalore, Karnataka, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062593298","display_name":"D. S. Suresh","orcid":null},"institutions":[{"id":"https://openalex.org/I53508799","display_name":"Tumkur University","ror":"https://ror.org/02j63m808","country_code":"IN","type":"education","lineage":["https://openalex.org/I53508799"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"D. S. Suresh","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Channabasaveshwara Institute of Technology, Gubbi, Tumkur, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Channabasaveshwara Institute of Technology, Gubbi, Tumkur, Karnataka, India","institution_ids":["https://openalex.org/I53508799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062593298"],"corresponding_institution_ids":["https://openalex.org/I53508799"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46088235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":"04","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":0.9973999857902527,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9929999709129333,"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/noise-reduction","display_name":"Noise reduction","score":0.8128349781036377},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.6935063600540161},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.6516789793968201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5852974653244019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5456573963165283},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.50730961561203},{"id":"https://openalex.org/keywords/step-detection","display_name":"Step detection","score":0.4800792336463928},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4629213809967041},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.44949811697006226},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44660407304763794},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.41563478112220764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41542309522628784},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.400825172662735},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.10187765955924988}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.8128349781036377},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.6935063600540161},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.6516789793968201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852974653244019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5456573963165283},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.50730961561203},{"id":"https://openalex.org/C293773","wikidata":"https://www.wikidata.org/wiki/Q7608015","display_name":"Step detection","level":3,"score":0.4800792336463928},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4629213809967041},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.44949811697006226},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44660407304763794},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.41563478112220764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41542309522628784},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.400825172662735},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.10187765955924988},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467821500510","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821500510","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1504409388","https://openalex.org/W1849730171","https://openalex.org/W1968660339","https://openalex.org/W1978749115","https://openalex.org/W2022416860","https://openalex.org/W2043778742","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2058005980","https://openalex.org/W2061438946","https://openalex.org/W2086962710","https://openalex.org/W2097073572","https://openalex.org/W2097217407","https://openalex.org/W2113945798","https://openalex.org/W2125527601","https://openalex.org/W2132680427","https://openalex.org/W2136035751","https://openalex.org/W2138461515","https://openalex.org/W2150427434","https://openalex.org/W2153663612","https://openalex.org/W2159736423","https://openalex.org/W2172275395","https://openalex.org/W2290883490","https://openalex.org/W2520545736","https://openalex.org/W2536599074","https://openalex.org/W2613184245","https://openalex.org/W2626919545","https://openalex.org/W2763070725","https://openalex.org/W2769021922","https://openalex.org/W2806736382","https://openalex.org/W2913349789","https://openalex.org/W2922904612","https://openalex.org/W2954388561"],"related_works":["https://openalex.org/W233850645","https://openalex.org/W2348643679","https://openalex.org/W1538114257","https://openalex.org/W2098237619","https://openalex.org/W2035842925","https://openalex.org/W4287081060","https://openalex.org/W2903172302","https://openalex.org/W3182043338","https://openalex.org/W2070967616","https://openalex.org/W2360732716"],"abstract_inverted_index":{"For":[0],"handling":[1],"digital":[2],"images":[3,129,134],"for":[4,56,98,113],"various":[5],"applications,":[6],"image":[7,17,39,66,79,85,95],"denoising":[8,18,40,80,100,102],"is":[9,34,96,111,135,169],"considered":[10],"as":[11],"a":[12,103,138],"fundamental":[13],"pre-processing":[14],"step.":[15],"Diverse":[16],"algorithms":[19,147],"have":[20],"been":[21],"introduced":[22],"in":[23,67,174],"the":[24,43,58,65,74,78,88,93,106,117,123,160,182,186],"past":[25],"few":[26],"decades.":[27],"The":[28,143,171],"main":[29],"intent":[30],"of":[31,45,64,119,176,185],"this":[32],"proposal":[33],"to":[35,72],"develop":[36],"an":[37,84],"effective":[38],"model":[41,51,188],"on":[42],"basis":[44],"internal":[46,99,127],"and":[47,101,130,152,159,192],"external":[48,107,114,131],"patches.":[49],"This":[50],"adopts":[52],"Non-local":[53],"means":[54],"(NLM)":[55],"performing":[57,77],"denoising,":[59],"which":[60],"uses":[61],"redundant":[62],"information":[63],"pixel":[68],"or":[69],"spatial":[70],"domain":[71],"reduce":[73],"noise.":[75],"While":[76],"using":[81,87,105],"NLM,":[82],"\u201cdenoising":[83],"patch":[86,104],"other":[89],"noisy":[90,94,128],"patches":[91,110],"within":[92],"done":[97,112],"clean":[108,132],"natural":[109,133],"denoising\u201d.":[115],"Here,":[116],"selection":[118],"optimal":[120],"block":[121],"from":[122],"entire":[124],"datasets":[125],"including":[126],"decided":[136],"by":[137],"new":[139,161],"hybrid":[140,162],"optimization":[141,146],"algorithm.":[142],"two":[144],"renowned":[145],"Chicken":[148],"Swarm":[149],"Optimization":[150],"(CSO),":[151],"Dragon":[153],"Fly":[154],"Algorithm":[155],"(DA)":[156],"are":[157],"merged,":[158],"algorithm":[163],"Rooster-based":[164],"Levy":[165],"Updated":[166],"DA":[167],"(RLU-DA)":[168],"adopted.":[170],"experimental":[172],"results":[173,184],"terms":[175],"some":[177],"relevant":[178],"performance":[179],"measures":[180],"show":[181],"promising":[183],"proposed":[187],"with":[189],"remarkable":[190],"stability":[191],"high":[193],"accuracy.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}