{"id":"https://openalex.org/W2041967730","doi":"https://doi.org/10.1109/icip.2013.6738095","title":"Sure-optimal two-dimensional Savitzky-Golay filters for image denoising","display_name":"Sure-optimal two-dimensional Savitzky-Golay filters for image denoising","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2041967730","doi":"https://doi.org/10.1109/icip.2013.6738095","mag":"2041967730"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5047813561","display_name":"Sreeram V. Menon","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sreeram V. Menon","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","[Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India]","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005652970","display_name":"Chandra Sekhar Seelamantula","orcid":"https://orcid.org/0000-0001-9049-1912"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra Sekhar Seelamantula","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","[Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India]","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.45279874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"459","last_page":"463"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9955000281333923,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9890000224113464,"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/binary-golay-code","display_name":"Binary Golay code","score":0.6283752918243408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5877339839935303},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5847883224487305},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.5725906491279602},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5619133710861206},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5365056991577148},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4648491442203522},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4617561995983124},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.41947585344314575},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3616291284561157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3179943561553955},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29937657713890076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19806793332099915},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08205437660217285}],"concepts":[{"id":"https://openalex.org/C165293857","wikidata":"https://www.wikidata.org/wiki/Q1534522","display_name":"Binary Golay code","level":2,"score":0.6283752918243408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5877339839935303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5847883224487305},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.5725906491279602},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5619133710861206},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5365056991577148},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4648491442203522},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4617561995983124},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.41947585344314575},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3616291284561157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3179943561553955},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29937657713890076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19806793332099915},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08205437660217285}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2013.6738095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:54315","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1989411243","https://openalex.org/W2007203285","https://openalex.org/W2054640142","https://openalex.org/W2056370875","https://openalex.org/W2100925004","https://openalex.org/W2109606373","https://openalex.org/W2113920645","https://openalex.org/W2144451417","https://openalex.org/W2145568341","https://openalex.org/W2150823344","https://openalex.org/W2170885533","https://openalex.org/W2792296590","https://openalex.org/W3083161613","https://openalex.org/W4206419526","https://openalex.org/W4245187915"],"related_works":["https://openalex.org/W1990336786","https://openalex.org/W2028812061","https://openalex.org/W2357150135","https://openalex.org/W1543078388","https://openalex.org/W2029282662","https://openalex.org/W2035606446","https://openalex.org/W2163053524","https://openalex.org/W167975066","https://openalex.org/W2133133185","https://openalex.org/W2146337469"],"abstract_inverted_index":{"Savitzky-Golay":[0],"(SG)":[1],"filters":[2,7,68],"are":[3],"linear,":[4],"shift-invariant":[5],"lowpass":[6],"employed":[8],"for":[9,69],"data":[10,29],"smoothing.":[11],"In":[12,55,97],"their":[13,36],"pathbreaking":[14],"paper":[15],"published":[16],"in":[17,89],"Analytical":[18],"Chemistry,":[19],"Savitzky":[20],"and":[21,33,83,110,156,169],"Golay":[22],"mathematically":[23],"established":[24],"that":[25,136],"polynomial":[26],"regression":[27],"of":[28,35,41,91,104,125,138,152],"over":[30],"local":[31],"intervals":[32],"evaluation":[34],"values":[37],"at":[38,147,159],"the":[39,42,86,92,105,111,129,139,153,188],"center":[40],"approximation":[43],"window":[44,84],"is":[45,74,108,114,121,134,145,191],"equivalent":[46],"to":[47,75,127,165,171],"convolution":[48],"with":[49],"a":[50,101,196],"finite":[51],"impulse":[52],"response":[53],"filter.":[54],"this":[56],"paper,":[57],"we":[58,117],"expound":[59],"SURE":[60],"(Stein's":[61],"unbiased":[62,123],"risk":[63],"estimate)":[64],"based":[65],"adaptive":[66],"SG":[67,78,143],"image":[70,107],"denoising.":[71],"Our":[72],"goal":[73],"optimally":[76],"choose":[77],"filter":[79,144,189],"parameters,":[80],"namely,":[81],"order":[82],"length,":[85],"optimality":[87],"defined":[88],"terms":[90],"mean":[93],"squared":[94],"error":[95],"(MSE).":[96],"practical":[98],"scenarios,":[99],"only":[100],"single":[102],"realization":[103],"noisy":[106],"available":[109],"ground":[112],"truth":[113],"inaccessible.":[115],"Hence,":[116],"propose":[118],"SURE,":[119],"which":[120],"an":[122],"estimate":[124],"MSE,":[126],"solve":[128],"parameter":[130],"selection":[131],"problem.":[132],"It":[133],"observed":[135],"bandwidth":[137],"minimum":[140],"MSE":[141],"(MMSE)-optimum":[142],"small":[146],"relatively":[148],"slowly":[149],"varying":[150],"portions":[151],"underlying":[154],"image,":[155],"vice":[157],"versa":[158],"abrupt":[160],"transitions,":[161],"thereby":[162],"enabling":[163],"us":[164],"trade":[166],"off":[167],"bias":[168],"variance":[170],"obtain":[172],"near-optimal":[173],"performance.":[174],"The":[175],"denoising":[176],"results":[177],"obtained":[178],"exhibit":[179],"considerable":[180],"peak":[181],"signal-to-noise-ratio":[182],"(PSNR)":[183],"improvement.":[184],"At":[185],"low":[186],"SNRs,":[187],"performance":[190],"further":[192],"enhanced":[193],"by":[194],"using":[195],"regularized":[197],"cost":[198],"function.":[199]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}