{"id":"https://openalex.org/W2142544860","doi":"https://doi.org/10.1109/icip.2011.6116188","title":"Robust sparse image denoising","display_name":"Robust sparse image denoising","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2142544860","doi":"https://doi.org/10.1109/icip.2011.6116188","mag":"2142544860"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th 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/A5017957560","display_name":"Radovan Obradovi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Radovan Obradovic","raw_affiliation_strings":["Faculty of Engineering, University of Novi Sad, Novi Sad, Serbia","Faculty of Engineering, University of Novi Sad, Trg Dositeja Obradovi\u0107a 6, 21000 Novi Sad, Serbia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"Faculty of Engineering, University of Novi Sad, Trg Dositeja Obradovi\u0107a 6, 21000 Novi Sad, Serbia#TAB#","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076641651","display_name":"Marko Janev","orcid":"https://orcid.org/0000-0003-3246-4988"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Marko Janev","raw_affiliation_strings":["Faculty of Engineering, University of Novi Sad, Novi Sad, Serbia","Faculty of Engineering, University of Novi Sad, Trg Dositeja Obradovi\u0107a 6, 21000 Novi Sad, Serbia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"Faculty of Engineering, University of Novi Sad, Trg Dositeja Obradovi\u0107a 6, 21000 Novi Sad, Serbia#TAB#","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029772771","display_name":"Borislav Anti\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Borislav Antic","raw_affiliation_strings":["Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019148827","display_name":"Vladimir Crnojevi\u0107","orcid":"https://orcid.org/0000-0001-7144-378X"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Vladimir Crnojevica","raw_affiliation_strings":["Faculty of Engineering, University of Novi Sad, Trg Dositeja Obradovi\u0107a 6, 21000 Novi Sad, Serbia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Novi Sad, Trg Dositeja Obradovi\u0107a 6, 21000 Novi Sad, Serbia#TAB#","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010799958","display_name":"Nemanja Petrovi\u0107","orcid":"https://orcid.org/0000-0003-3268-389X"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Nemanja I. Petrovic","raw_affiliation_strings":["Faculty of Engineering, University of Novi Sad, Novi Sad, Serbia","Faculty of Engineering, University of Novi Sad, Trg Dositeja Obradovi\u0107a 6, 21000 Novi Sad, Serbia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"Faculty of Engineering, University of Novi Sad, Trg Dositeja Obradovi\u0107a 6, 21000 Novi Sad, Serbia#TAB#","institution_ids":["https://openalex.org/I170726198"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50694886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2569","last_page":"2572"},"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":0.9975000023841858,"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":0.9968000054359436,"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/noise-reduction","display_name":"Noise reduction","score":0.7557646036148071},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6625566482543945},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.5982087850570679},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.5848749279975891},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5817533135414124},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.5696906447410583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5657231211662292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5156618356704712},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49205702543258667},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4711909294128418},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4463735818862915},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.442790150642395},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43840712308883667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42341750860214233},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40921109914779663},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4065934419631958},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.39640012383461},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3630918264389038},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13251778483390808},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.07060620188713074}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7557646036148071},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6625566482543945},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.5982087850570679},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.5848749279975891},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5817533135414124},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.5696906447410583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5657231211662292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5156618356704712},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49205702543258667},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4711909294128418},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4463735818862915},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.442790150642395},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43840712308883667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42341750860214233},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40921109914779663},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4065934419631958},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.39640012383461},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3630918264389038},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13251778483390808},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.07060620188713074},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6116188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1992824804","https://openalex.org/W2039957107","https://openalex.org/W2046033161","https://openalex.org/W2099244020","https://openalex.org/W2103488967","https://openalex.org/W2126607811","https://openalex.org/W2150134853","https://openalex.org/W2153663612","https://openalex.org/W2160817147","https://openalex.org/W2163743295","https://openalex.org/W4229530126","https://openalex.org/W6660759405"],"related_works":["https://openalex.org/W2495078643","https://openalex.org/W233850645","https://openalex.org/W2098237619","https://openalex.org/W1538114257","https://openalex.org/W4287081060","https://openalex.org/W2035842925","https://openalex.org/W3182043338","https://openalex.org/W2380616154","https://openalex.org/W2362249450","https://openalex.org/W2810018092"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,47],"propose":[4],"a":[5],"novel":[6],"method":[7,28,62],"for":[8,103],"denoising":[9,50,64,104],"images":[10],"corrupted":[11],"by":[12,51,73],"the":[13,16,22,40,49,55,60,70,79],"mixture":[14],"of":[15,37,54,93],"additive":[17],"white":[18],"Gaussian":[19],"noise":[20,107],"and":[21,95,97,99],"heavy":[23,105],"tailed":[24,106],"noise.":[25],"The":[26,82],"proposed":[27,83],"is":[29],"based":[30],"on":[31],"robust":[32],"statistical":[33],"approach,":[34],"i.e.":[35],"application":[36],"M-estimators":[38],"in":[39,66,108],"combination":[41],"with":[42],"l1sparse":[43],"regularization":[44,75],"technique.":[45],"Thus,":[46],"perform":[48],"numerical":[52],"solving":[53],"convex":[56],"optimization":[57],"problem.":[58],"Additionally,":[59],"developed":[61],"performs":[63],"adaptively":[65],"order":[67],"to":[68,78],"preserve":[69],"image":[71],"details,":[72],"adjusting":[74],"coefficients":[76],"according":[77],"local":[80],"variance.":[81],"de-noising":[84],"scheme":[85],"produces":[86],"excellent":[87],"results,":[88],"both":[89],"objectively":[90],"(in":[91],"terms":[92],"PSNR":[94],"MSSIM)":[96],"subjectively":[98],"outperforms":[100],"state-of-the-art":[101],"filters":[102],"images.":[109]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
