{"id":"https://openalex.org/W2032480453","doi":"https://doi.org/10.2478/s13537-013-0111-3","title":"Denoising of digital images through PSO based pixel classification","display_name":"Denoising of digital images through PSO based pixel classification","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2032480453","doi":"https://doi.org/10.2478/s13537-013-0111-3","mag":"2032480453"},"language":"en","primary_location":{"id":"doi:10.2478/s13537-013-0111-3","is_oa":true,"landing_page_url":"https://doi.org/10.2478/s13537-013-0111-3","pdf_url":"https://www.degruyter.com/document/doi/10.2478/s13537-013-0111-3/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/document/doi/10.2478/s13537-013-0111-3/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101947533","display_name":"Somnath Mukhopadhyay","orcid":"https://orcid.org/0000-0002-4532-6245"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Somnath Mukhopadhyay","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Aryabhatta Institute of Engineering & Management, West Bengal, 713148, Durgapur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Aryabhatta Institute of Engineering & Management, West Bengal, 713148, Durgapur, India","institution_ids":[]}]},{"author_position":"last","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":"Jyotsna Mandal","raw_affiliation_strings":["Dept. of Computer Science & Engineering, University of Kalyani, West Bengal, 741235, Kalyani, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, University of Kalyani, West Bengal, 741235, Kalyani, India","institution_ids":["https://openalex.org/I77501641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101947533"],"corresponding_institution_ids":[],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.2762,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59950898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":"4","first_page":"158","last_page":"172"},"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":0.9983000159263611,"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":0.9965999722480774,"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/pixel","display_name":"Pixel","score":0.8472704887390137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7544055581092834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6221508979797363},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6205607652664185},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.5903788805007935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5696913599967957},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5080821514129639},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5061501860618591},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4992501735687256},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4754999577999115},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.45847275853157043},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.4176174998283386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37376824021339417},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.344296395778656},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1539674997329712},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.12798529863357544},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09349784255027771},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0648655891418457}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8472704887390137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7544055581092834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6221508979797363},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6205607652664185},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.5903788805007935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5696913599967957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5080821514129639},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5061501860618591},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4992501735687256},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4754999577999115},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45847275853157043},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.4176174998283386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37376824021339417},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.344296395778656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1539674997329712},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.12798529863357544},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09349784255027771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0648655891418457},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2478/s13537-013-0111-3","is_oa":true,"landing_page_url":"https://doi.org/10.2478/s13537-013-0111-3","pdf_url":"https://www.degruyter.com/document/doi/10.2478/s13537-013-0111-3/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4479393ab58e4f12b0d2a9f6a11f2510","is_oa":true,"landing_page_url":"https://doaj.org/article/4479393ab58e4f12b0d2a9f6a11f2510","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":"Open Computer Science, Vol 3, Iss 4, Pp 158-172 (2013)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.2478/s13537-013-0111-3","is_oa":true,"landing_page_url":"https://doi.org/10.2478/s13537-013-0111-3","pdf_url":"https://www.degruyter.com/document/doi/10.2478/s13537-013-0111-3/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7099999785423279}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322759","display_name":"University of Kalyani","ror":"https://ror.org/03v783k16"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2032480453.pdf","grobid_xml":"https://content.openalex.org/works/W2032480453.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W30708597","https://openalex.org/W115296368","https://openalex.org/W199048726","https://openalex.org/W199816884","https://openalex.org/W1984059173","https://openalex.org/W2007485038","https://openalex.org/W2030169530","https://openalex.org/W2077340757","https://openalex.org/W2081933987","https://openalex.org/W2090356242","https://openalex.org/W2093722317","https://openalex.org/W2094903560","https://openalex.org/W2098615715","https://openalex.org/W2102236449","https://openalex.org/W2112907544","https://openalex.org/W2120006332","https://openalex.org/W2124139674","https://openalex.org/W2128436821","https://openalex.org/W2136452074","https://openalex.org/W2142781271","https://openalex.org/W2143878868","https://openalex.org/W2153238173","https://openalex.org/W2153515097","https://openalex.org/W2159558889","https://openalex.org/W2167707673","https://openalex.org/W2169733476","https://openalex.org/W2489708175","https://openalex.org/W2541849379","https://openalex.org/W2543580944","https://openalex.org/W2963568745","https://openalex.org/W6600553734","https://openalex.org/W6601630192"],"related_works":["https://openalex.org/W2761243560","https://openalex.org/W2156668482","https://openalex.org/W233850645","https://openalex.org/W2041625018","https://openalex.org/W2776327255","https://openalex.org/W2098237619","https://openalex.org/W2391378893","https://openalex.org/W3134384462","https://openalex.org/W1974796563","https://openalex.org/W2511423457"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"proposes":[3],"a":[4,38],"de-noising":[5],"method":[6],"where":[7],"the":[8,42,48,64,69,72,92,109,119,124,127,163],"detection":[9,75],"and":[10,34,85,112],"filtering":[11,88],"is":[12,22,82],"based":[13,79],"on":[14],"unsupervised":[15],"classification":[16],"of":[17,26,71,102,126,141,159],"pixels.":[18,73],"The":[19,54,74,87],"noisy":[20,93,114],"image":[21,43],"grouped":[23],"into":[24],"subsets":[25],"pixels":[27,44,60,94,98],"with":[28,145],"respect":[29],"to":[30,107,135],"their":[31],"intensity":[32,65],"values":[33],"spatial":[35],"distances.":[36],"Using":[37],"novel":[39],"fitness":[40],"function":[41,56],"are":[45,105,116,133,152],"classified":[46],"using":[47,61,118],"Particle":[49],"Swarm":[50],"Optimization":[51],"(PSO)":[52],"technique.":[53,129,165],"distance":[55],"measured":[57],"similarity/dissimilarity":[58],"among":[59],"not":[62],"only":[63,91],"values,":[66],"but":[67],"also":[68,153],"positions":[70],"technique":[76],"enforced":[77],"PSO":[78],"clustering,":[80],"which":[81,155],"very":[83],"simple":[84],"robust.":[86],"operator":[89],"restored":[90,117],"keeping":[95],"noise":[96,103],"free":[97],"intact.":[99],"Four":[100],"types":[101],"models":[104],"used":[106,134],"train":[108],"digital":[110,160],"images":[111,115,132,161],"these":[113],"proposed":[120,128,164],"algorithm.":[121],"Results":[122],"demonstrated":[123],"effectiveness":[125],"Various":[130],"benchmark":[131],"produce":[136],"restoration":[137,158],"results":[138],"in":[139],"terms":[140],"PSNR":[142],"(dB)":[143],"along":[144],"other":[146],"parametric":[147],"values.":[148],"Some":[149],"visual":[150],"effects":[151],"presented":[154],"conform":[156],"better":[157],"through":[162]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}