{"id":"https://openalex.org/W2092498750","doi":"https://doi.org/10.1142/s0219691312500142","title":"IMAGE DENOISING BASED ON GAUSSIAN AND NON-GAUSSIAN ASSUMPTION","display_name":"IMAGE DENOISING BASED ON GAUSSIAN AND NON-GAUSSIAN ASSUMPTION","publication_year":2012,"publication_date":"2012-02-15","ids":{"openalex":"https://openalex.org/W2092498750","doi":"https://doi.org/10.1142/s0219691312500142","mag":"2092498750"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691312500142","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691312500142","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"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 Wavelets, Multiresolution and Information Processing","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/A5101763780","display_name":"Ping Zhao","orcid":"https://orcid.org/0000-0002-1066-8608"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"PING ZHAO","raw_affiliation_strings":["School of Science, Beijing Jiaotong University, Beijing 100044, China","School of Science, Beijing Jiaotong University, Beijing 100044, China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Science, Beijing Jiaotong University, Beijing 100044, China)","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052276737","display_name":"Zhaowei Shang","orcid":"https://orcid.org/0000-0002-1588-1387"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZHAOWEI SHANG","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073720223","display_name":"Chun Zhao","orcid":"https://orcid.org/0000-0003-4996-4911"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"CHUN ZHAO","raw_affiliation_strings":["Faculty of Mathematics Science, Tianjin Normal University, Tianjin 300074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics Science, Tianjin Normal University, Tianjin 300074, China","institution_ids":["https://openalex.org/I15062923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3618,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83490614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"02","first_page":"1250014","last_page":"1250014"},"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":0.9990000128746033,"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":0.9915000200271606,"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/wavelet","display_name":"Wavelet","score":0.8211541175842285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6704529523849487},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6007068157196045},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5650854706764221},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5361340641975403},{"id":"https://openalex.org/keywords/orthogonal-wavelet","display_name":"Orthogonal wavelet","score":0.5258484482765198},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5233765840530396},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4849279224872589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4453669786453247},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.44307535886764526},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.43171238899230957},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4296953082084656},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.4106295704841614},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.41046178340911865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3292912244796753},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2677268385887146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19464585185050964}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8211541175842285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6704529523849487},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6007068157196045},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5650854706764221},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5361340641975403},{"id":"https://openalex.org/C2777451244","wikidata":"https://www.wikidata.org/wiki/Q3352512","display_name":"Orthogonal wavelet","level":5,"score":0.5258484482765198},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5233765840530396},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4849279224872589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4453669786453247},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.44307535886764526},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.43171238899230957},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4296953082084656},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4106295704841614},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.41046178340911865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3292912244796753},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2677268385887146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19464585185050964},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691312500142","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691312500142","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"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 Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1974098774","https://openalex.org/W1977527736","https://openalex.org/W2003244095","https://openalex.org/W2020914797","https://openalex.org/W2022444414","https://openalex.org/W2065391104","https://openalex.org/W2075491907","https://openalex.org/W2087708001","https://openalex.org/W2108597695","https://openalex.org/W2108811075","https://openalex.org/W2119445186","https://openalex.org/W2125527601","https://openalex.org/W2129276048","https://openalex.org/W2132984323","https://openalex.org/W2134929491","https://openalex.org/W2139282590","https://openalex.org/W2152023291","https://openalex.org/W2152047336","https://openalex.org/W2156706175","https://openalex.org/W2158940042","https://openalex.org/W2161882007","https://openalex.org/W2163612361"],"related_works":["https://openalex.org/W2357327121","https://openalex.org/W2171659827","https://openalex.org/W2392933489","https://openalex.org/W2156383951","https://openalex.org/W2374684443","https://openalex.org/W2018439888","https://openalex.org/W1985382169","https://openalex.org/W260019428","https://openalex.org/W2001281573","https://openalex.org/W2144834862"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,46],"first":[4],"present":[5],"an":[6],"adaptive":[7,51],"intra-scale":[8],"noise":[9,52],"removal":[10],"scheme,":[11],"and":[12],"estimate":[13],"clean":[14],"wavelet":[15,43,63,80,103,116],"coefficients":[16,64,81],"using":[17,28],"new":[18,26],"prior":[19,33],"information":[20],"with":[21],"Bayesian":[22],"estimation":[23],"techniques.":[24],"A":[25],"model":[27],"the":[29,37,57,79,101,109,113,123],"non-informative":[30],"improper":[31],"Jeffreys'":[32],"is":[34,127],"given":[35],"under":[36],"supposed":[38],"Gaussian":[39,110],"distribution":[40,126],"for":[41,72,90],"orthogonal":[42,102],"transformation.":[44,75],"Then,":[45],"propose":[47],"a":[48,86],"computationally":[49],"feasible":[50],"smoothing":[53],"algorithm":[54],"that":[55,100],"considers":[56],"dependency":[58],"characteristics":[59],"of":[60,78],"images.":[61],"The":[62,76,96],"are":[65,82],"assumed":[66],"to":[67,120],"be":[68],"non-Gaussian":[69,124],"random":[70],"variables":[71],"non-orthogonal":[73,114],"redundancy":[74,115],"variances":[77],"estimated":[83],"locally":[84],"by":[85],"centered":[87],"square-shaped":[88],"window":[89],"every":[91],"pixel":[92],"within":[93],"each":[94],"subband.":[95],"experimental":[97],"results":[98,107],"show":[99],"transformation":[104,117],"provides":[105],"better":[106],"at":[108],"assumption,":[111],"while":[112],"performance":[118],"tends":[119],"increase":[121],"when":[122],"bivariate":[125],"used.":[128]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}