{"id":"https://openalex.org/W2974470054","doi":"https://doi.org/10.4018/ijncr.2019100103","title":"Image Denoising Using Novel Social Grouping Optimization Algorithm with Transform Domain Technique","display_name":"Image Denoising Using Novel Social Grouping Optimization Algorithm with Transform Domain Technique","publication_year":2019,"publication_date":"2019-09-19","ids":{"openalex":"https://openalex.org/W2974470054","doi":"https://doi.org/10.4018/ijncr.2019100103","mag":"2974470054"},"language":"en","primary_location":{"id":"doi:10.4018/ijncr.2019100103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijncr.2019100103","pdf_url":null,"source":{"id":"https://openalex.org/S1001844925","display_name":"International Journal of Natural Computing Research","issn_l":"1947-928X","issn":["1947-928X","1947-9298"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Natural Computing Research","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/A5000652888","display_name":"B. V. D. S. Sekhar","orcid":null},"institutions":[{"id":"https://openalex.org/I100887729","display_name":"Andhra University","ror":"https://ror.org/049skhf47","country_code":"IN","type":"education","lineage":["https://openalex.org/I100887729"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"B V D S Sekhar","raw_affiliation_strings":["Andhra University, Visakhapatnam, India"],"raw_orcid":"https://orcid.org/0000-0003-0185-9960","affiliations":[{"raw_affiliation_string":"Andhra University, Visakhapatnam, India","institution_ids":["https://openalex.org/I100887729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038960546","display_name":"P. V. G. D. Prasad Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I100887729","display_name":"Andhra University","ror":"https://ror.org/049skhf47","country_code":"IN","type":"education","lineage":["https://openalex.org/I100887729"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P V G D Prasad Reddy","raw_affiliation_strings":["Andhra University, Visakhapatnam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Andhra University, Visakhapatnam, India","institution_ids":["https://openalex.org/I100887729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113701656","display_name":"S. Venkataramana","orcid":null},"institutions":[{"id":"https://openalex.org/I100887729","display_name":"Andhra University","ror":"https://ror.org/049skhf47","country_code":"IN","type":"education","lineage":["https://openalex.org/I100887729"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Venkataramana","raw_affiliation_strings":["Andhra University, Visakhapatnam, India"],"raw_orcid":"https://orcid.org/0000-0002-3448-7094","affiliations":[{"raw_affiliation_string":"Andhra University, Visakhapatnam, India","institution_ids":["https://openalex.org/I100887729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108815842","display_name":"Vedula Chakravarthy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vedula V S S S Chakravarthy","raw_affiliation_strings":["Raghu Institute of Technology, Modavalasa, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raghu Institute of Technology, Modavalasa, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004003599","display_name":"P. Satish Rama Chowdary","orcid":"https://orcid.org/0000-0002-1649-4258"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P Satish Rama Chowdary","raw_affiliation_strings":["Raghu Institute of Technology, Modavalasa, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raghu Institute of Technology, Modavalasa, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000652888"],"corresponding_institution_ids":["https://openalex.org/I100887729"],"apc_list":null,"apc_paid":null,"fwci":0.4084,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.65931017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":"4","first_page":"28","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9898999929428101,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9854999780654907,"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":0.7709802389144897},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6537054777145386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6459131240844727},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.6001478433609009},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5205803513526917},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.4968614876270294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4724688231945038},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4608698785305023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46040356159210205},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.455170214176178},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.45406126976013184},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4179348349571228},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.41046756505966187},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4101627469062805},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.38295623660087585},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3264370560646057},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.2793486714363098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1696949601173401},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1278337836265564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7709802389144897},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6537054777145386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6459131240844727},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.6001478433609009},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5205803513526917},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.4968614876270294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4724688231945038},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4608698785305023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46040356159210205},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.455170214176178},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.45406126976013184},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4179348349571228},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.41046756505966187},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4101627469062805},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.38295623660087585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3264370560646057},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.2793486714363098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1696949601173401},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1278337836265564},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijncr.2019100103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijncr.2019100103","pdf_url":null,"source":{"id":"https://openalex.org/S1001844925","display_name":"International Journal of Natural Computing Research","issn_l":"1947-928X","issn":["1947-928X","1947-9298"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Natural Computing Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jncr00:v:8:y:2019:i:4:p:28-40","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJNCR.2019100103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1505064308","https://openalex.org/W1526455201","https://openalex.org/W1673090216","https://openalex.org/W1875348914","https://openalex.org/W1965184759","https://openalex.org/W1993911448","https://openalex.org/W1999499451","https://openalex.org/W2001002651","https://openalex.org/W2003884262","https://openalex.org/W2006663170","https://openalex.org/W2007203285","https://openalex.org/W2038457848","https://openalex.org/W2097073572","https://openalex.org/W2099691301","https://openalex.org/W2109364787","https://openalex.org/W2128265222","https://openalex.org/W2135209903","https://openalex.org/W2145113795","https://openalex.org/W2164168162","https://openalex.org/W2165299997","https://openalex.org/W2177201091","https://openalex.org/W2194304464","https://openalex.org/W2209247617","https://openalex.org/W2317744239","https://openalex.org/W2511284938","https://openalex.org/W2545895375","https://openalex.org/W2734788008","https://openalex.org/W2740306922","https://openalex.org/W2746908783","https://openalex.org/W2783509657","https://openalex.org/W2798741797","https://openalex.org/W2908453320","https://openalex.org/W2964213580","https://openalex.org/W3140035361"],"related_works":["https://openalex.org/W1538114257","https://openalex.org/W2098237619","https://openalex.org/W2035842925","https://openalex.org/W4287081060","https://openalex.org/W3182043338","https://openalex.org/W2001438600","https://openalex.org/W2810018092","https://openalex.org/W2791234060","https://openalex.org/W2156242833","https://openalex.org/W2360732716"],"abstract_inverted_index":{"In":[0,137],"recent":[1],"days,":[2],"image":[3,26,46,51,54,88,169],"communication":[4,36],"has":[5,57,118],"evolved":[6],"in":[7,32,42,78,105,129,133],"many":[8],"fields":[9],"like":[10],"medicine,":[11],"entertainment,":[12],"gaming,":[13],"mail,":[14],"etc.":[15,98],"Thus,":[16],"it":[17],"is":[18,30],"an":[19],"immediate":[20],"need":[21],"to":[22,58,120],"denoise":[23],"the":[24,33,43,62,68,79,84,109,134,140,150],"received":[25],"because":[27],"noise":[28,55],"that":[29],"added":[31],"channel":[34],"during":[35],"alters":[37],"or":[38,53],"deteriorates":[39],"information":[40],"contained":[41],"image.":[44],"Any":[45],"processing":[47],"techniques":[48,107,128],"concerned":[49],"with":[50,61,67,112,125,131],"denoising":[52,127,151,154,164],"removal":[56],"be":[59,121],"started":[60],"spatial":[63,80],"domain":[64,81],"and":[65,161],"end":[66],"transform":[69,110,135],"domain.":[70,136],"A":[71],"lot":[72],"of":[73,86],"research":[74,101],"was":[75,102,165],"carried":[76,103],"out":[77,104],"by":[82],"modifying":[83],"performance":[85,162],"different":[87],"filters":[89],"such":[90,146],"as":[91,147,156,158],"mean":[92],"filters,":[93,95,97],"median":[94],"Laplacian":[96],"Recently":[99],"much":[100],"Transform":[106],"under":[108],"domain,":[111],"evolutionary":[113],"computing":[114],"tools":[115],"(ECT).":[116],"ECT":[117,145],"proven":[119],"dominant":[122],"when":[123],"compared":[124],"traditional":[126],"combination":[130],"wavelets":[132],"this":[138],"article,":[139],"authors":[141],"applied":[142],"a":[143],"novel":[144],"SGOA":[148],"on":[149],"problem":[152],"for":[153,163],"monochrome":[155],"well":[157],"color":[159],"images":[160],"evaluated":[166],"using":[167],"several":[168],"quality":[170],"metrics.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}