{"id":"https://openalex.org/W2767961544","doi":"https://doi.org/10.1155/2017/5835020","title":"Color Image Denoising Based on Guided Filter and Adaptive Wavelet Threshold","display_name":"Color Image Denoising Based on Guided Filter and Adaptive Wavelet Threshold","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2767961544","doi":"https://doi.org/10.1155/2017/5835020","mag":"2767961544"},"language":"en","primary_location":{"id":"doi:10.1155/2017/5835020","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/5835020","pdf_url":"http://downloads.hindawi.com/journals/acisc/2017/5835020.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/acisc/2017/5835020.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015182080","display_name":"Xin Sun","orcid":"https://orcid.org/0000-0003-1870-9037"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Sun","raw_affiliation_strings":["Smart City College, Beijing Union University, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smart City College, Beijing Union University, Beijing 100101, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102707440","display_name":"Ning He","orcid":"https://orcid.org/0000-0003-1805-9249"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning He","raw_affiliation_strings":["Smart City College, Beijing Union University, Beijing 100101, China"],"raw_orcid":"https://orcid.org/0000-0003-1805-9249","affiliations":[{"raw_affiliation_string":"Smart City College, Beijing Union University, Beijing 100101, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401890","display_name":"Yuqing Zhang","orcid":"https://orcid.org/0000-0002-0015-8874"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Qing Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085468725","display_name":"Xueyan Zhen","orcid":null},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue-Yan Zhen","raw_affiliation_strings":["Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072833759","display_name":"Ke L\u00fc","orcid":"https://orcid.org/0000-0003-0176-3088"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lu","raw_affiliation_strings":["University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102132052","display_name":"Xiuling Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I49496784","display_name":"Beijing City University","ror":"https://ror.org/01jfjwr55","country_code":"CN","type":"education","lineage":["https://openalex.org/I49496784"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu-Ling Zhou","raw_affiliation_strings":["Beijing City University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing City University, Beijing 100083, China","institution_ids":["https://openalex.org/I49496784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102707440"],"corresponding_institution_ids":["https://openalex.org/I114234892"],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":0.2773,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65473296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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":0.9833999872207642,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7837278842926025},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6817423105239868},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6417567729949951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6393238306045532},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.6300840377807617},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.5596571564674377},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5303469300270081},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.513064980506897},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5116000771522522},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4912499785423279},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4571831226348877},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.4453660547733307},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.4333045780658722},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3353676199913025},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31887030601501465},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.2138153314590454},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.15780377388000488},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.05494275689125061}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7837278842926025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6817423105239868},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6417567729949951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6393238306045532},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.6300840377807617},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.5596571564674377},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5303469300270081},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.513064980506897},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5116000771522522},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4912499785423279},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4571831226348877},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4453660547733307},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.4333045780658722},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3353676199913025},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31887030601501465},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.2138153314590454},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.15780377388000488},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.05494275689125061},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.0},{"id":"https://openalex.org/C87359718","wikidata":"https://www.wikidata.org/wiki/Q1271916","display_name":"Thin-film transistor","level":3,"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},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2017/5835020","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/5835020","pdf_url":"http://downloads.hindawi.com/journals/acisc/2017/5835020.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:de1e1ebf2e09414fbc847250a344affe","is_oa":true,"landing_page_url":"https://doaj.org/article/de1e1ebf2e09414fbc847250a344affe","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Computational Intelligence and Soft Computing, Vol 2017 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2017/5835020","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/5835020","pdf_url":"http://downloads.hindawi.com/journals/acisc/2017/5835020.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3119657884","display_name":null,"funder_award_id":"4162027","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G3366420603","display_name":null,"funder_award_id":"U1301251","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G3575404554","display_name":null,"funder_award_id":"IDHT20170511","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G3906964000","display_name":null,"funder_award_id":"61370138","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G42689364","display_name":null,"funder_award_id":"4162027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5635934523","display_name":null,"funder_award_id":"KYDE40201701","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5833272871","display_name":null,"funder_award_id":"U1301251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6621319364","display_name":null,"funder_award_id":"61572077","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G7157733257","display_name":null,"funder_award_id":"KYDE40201701","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G7522364189","display_name":null,"funder_award_id":"61370138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7589238905","display_name":null,"funder_award_id":"61572077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8802829645","display_name":null,"funder_award_id":"IDHT20170511","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2767961544.pdf","grobid_xml":"https://content.openalex.org/works/W2767961544.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W339356811","https://openalex.org/W1966179910","https://openalex.org/W2006663170","https://openalex.org/W2009843272","https://openalex.org/W2034132756","https://openalex.org/W2056370875","https://openalex.org/W2079724595","https://openalex.org/W2098115093","https://openalex.org/W2125188192","https://openalex.org/W2146842127","https://openalex.org/W2194304464","https://openalex.org/W2480154178"],"related_works":["https://openalex.org/W1699622673","https://openalex.org/W233850645","https://openalex.org/W2082304850","https://openalex.org/W1998728244","https://openalex.org/W2511423457","https://openalex.org/W2102253512","https://openalex.org/W2536791468","https://openalex.org/W2378657331","https://openalex.org/W4308564914","https://openalex.org/W2359866629"],"abstract_inverted_index":{"In":[0],"the":[1,13,19,35,46,60,66,103,113,116,119,123,129,139,143,148,175,183,191],"process":[2],"of":[3,18,48,65,73,106,118,128],"denoising":[4,180,198],"color":[5,49,131,196],"images,":[6],"it":[7],"is":[8,92,109,142,172],"very":[9],"important":[10],"to":[11,86,112,200],"enhance":[12],"edge":[14,61,77,124],"and":[15,30,41,62,96,102,125,182],"texture":[16,63,126],"information":[17,127],"images.":[20],"Image":[21],"quality":[22],"can":[23,151],"usually":[24],"be":[25,81,87,152],"improved":[26],"by":[27,135],"eliminating":[28],"noise":[29],"enhancing":[31],"contrast.":[32],"Based":[33],"on":[34,45],"adaptive":[36,176],"wavelet":[37,120,177],"threshold":[38,107,178],"shrinkage":[39,108,179],"algorithm":[40,181],"considering":[42],"structural":[43],"characteristics":[44],"basis":[47],"image":[50,67,91,132,141,146,197],"denoising,":[51],"this":[52],"paper":[53],"describes":[54],"a":[55,155,163],"method":[56,171,193],"that":[57,79,190],"further":[58],"enhances":[59],"details":[64,78],"using":[68,99],"guided":[69,74,136,149],"filtering.":[70,137,168],"The":[71,89,169],"use":[72],"filtering":[75,185],"allows":[76],"cannot":[80],"discriminated":[82],"in":[83,115,162],"grayscale":[84],"images":[85],"preserved.":[88],"noisy":[90],"decomposed":[93],"into":[94],"low-frequency":[95],"high-frequency":[97],"subbands":[98],"discrete":[100],"wavelets,":[101],"contraction":[104],"function":[105],"selected":[110],"according":[111],"energy":[114],"vicinity":[117],"coefficients.":[121],"Finally,":[122],"denoised":[130],"are":[133],"enhanced":[134],"When":[138],"guiding":[140],"original":[144],"noiseless":[145],"itself,":[147],"filter":[150],"used":[153],"as":[154],"smoothing":[156],"operator":[157],"for":[158],"preserving":[159],"edges,":[160],"resulting":[161],"better":[164],"effect":[165],"than":[166],"bilateral":[167,184],"proposed":[170,192],"compared":[173,199],"with":[174],"algorithm.":[186],"Experimental":[187],"results":[188],"show":[189],"achieves":[194],"superior":[195],"these":[201],"conventional":[202],"techniques.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}