{"id":"https://openalex.org/W2128784759","doi":"https://doi.org/10.1109/iscas.2009.5117914","title":"A new two-stage method for restoration of images corrupted by Gaussian and impulse noises using local polynomial regression and edge preserving regularization","display_name":"A new two-stage method for restoration of images corrupted by Gaussian and impulse noises using local polynomial regression and edge preserving regularization","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2128784759","doi":"https://doi.org/10.1109/iscas.2009.5117914","mag":"2128784759"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2009.5117914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2009.5117914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Circuits and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5043201859","display_name":"Z. G. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2800810863","display_name":"Queen Mary Hospital","ror":"https://ror.org/02xkx3e48","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294586568","https://openalex.org/I2800810863"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Z. G. Zhang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","Department of Orthopaedics & Traumatology, The University of Hong Kong, Pokfulam Road, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Orthopaedics & Traumatology, The University of Hong Kong, Pokfulam Road, Hong Kong","institution_ids":["https://openalex.org/I2800810863","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057049452","display_name":"S. C. Chan","orcid":"https://orcid.org/0000-0001-7212-4182"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"S. C. Chan","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","Department of Electrical & Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087656443","display_name":"Zhiliang Zhu","orcid":"https://orcid.org/0000-0002-0939-0741"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Z. Y. Zhu","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","Department of Electrical & Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3408,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82687031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"948","last_page":"951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/mathematics","display_name":"Mathematics","score":0.6100138425827026},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6085433959960938},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.5830169916152954},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5207671523094177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5112853050231934},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5069380402565002},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.452671080827713},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44690555334091187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4164554476737976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37659940123558044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3349471092224121},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.30090445280075073},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18732786178588867},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.09470948576927185}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6100138425827026},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6085433959960938},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.5830169916152954},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5207671523094177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5112853050231934},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5069380402565002},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.452671080827713},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44690555334091187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4164554476737976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37659940123558044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3349471092224121},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.30090445280075073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18732786178588867},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.09470948576927185},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscas.2009.5117914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2009.5117914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Circuits and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/143327","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/143327","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W129805247","https://openalex.org/W1597926580","https://openalex.org/W1975285668","https://openalex.org/W2006262236","https://openalex.org/W2111226488","https://openalex.org/W2121858988","https://openalex.org/W2122374500","https://openalex.org/W2124139674","https://openalex.org/W2124989052","https://openalex.org/W2148358298","https://openalex.org/W2792296590"],"related_works":["https://openalex.org/W2159720070","https://openalex.org/W2463830379","https://openalex.org/W1991133639","https://openalex.org/W2157134024","https://openalex.org/W2165264176","https://openalex.org/W2290527899","https://openalex.org/W2064270814","https://openalex.org/W2286538174","https://openalex.org/W2016732018","https://openalex.org/W2985488186"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,35,41,45,67,129],"new":[4],"two-stage":[5,130],"method":[6,72,96,118,131,146,152],"for":[7,58,132],"restoring":[8],"image":[9],"corrupted":[10],"by":[11,34,44],"additive":[12,135],"impulsive":[13,111,136,163],"and":[14,23,124,137,149],"Gaussian":[15,105,138],"noise":[16,112],"based":[17],"on":[18],"local":[19,80,86],"polynomial":[20,36],"regression":[21],"(LPR)":[22],"edge":[24],"preserving":[25],"regularization.":[26],"In":[27],"LPR,":[28],"the":[29,110,144,150,155,162],"observations":[30],"are":[31],"modeled":[32],"locally":[33],"using":[37],"least-squares":[38],"criterion":[39],"with":[40,79,94,104],"kernel":[42,60,78],"controlled":[43],"certain":[46],"bandwidth":[47],"matrix.":[48],"A":[49],"refined":[50],"intersection":[51],"confidence":[52],"intervals":[53],"(RICI)":[54],"adaptive":[55],"scale":[56],"selector":[57],"symmetric":[59],"is":[61,73,98,119],"applied":[62,99],"in":[63,113,160],"LPR":[64,93],"to":[65,76,82,85,100,108,122,128],"achieve":[66],"better":[68,84],"bias-variance":[69],"tradeoff.":[70],"The":[71,90],"further":[74],"extended":[75],"steering":[77],"orientation":[81],"adapt":[83],"characteristics":[87],"of":[88],"images.":[89],"resulting":[91],"steering-kernel-based":[92],"RICI":[95],"(SK-LPR-RICI)":[97],"smooth":[101],"images":[102],"contaminated":[103],"noise.":[106,164],"Furthermore,":[107],"remove":[109],"images,":[114],"an":[115],"edge-preserving":[116],"regularization":[117,159],"employed":[120],"prior":[121],"SK-LPR-RICI":[123,151],"it":[125],"gives":[126],"rise":[127],"suppressing":[133,161],"both":[134],"noises.":[139],"Simulation":[140],"results":[141],"show":[142],"that":[143],"proposed":[145],"performs":[147],"satisfactorily":[148],"significantly":[153],"improves":[154],"performance":[156],"after":[157],"edge-preservation":[158]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
