{"id":"https://openalex.org/W2710262087","doi":"https://doi.org/10.1109/icassp.2017.7953316","title":"Automatic parameter tuning for image denoising with learned sparsifying transforms","display_name":"Automatic parameter tuning for image denoising with learned sparsifying transforms","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2710262087","doi":"https://doi.org/10.1109/icassp.2017.7953316","mag":"2710262087"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5016836572","display_name":"Luke Pfister","orcid":"https://orcid.org/0000-0001-7485-5966"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luke Pfister","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, 61801, USA","Department of Electrical and Computer Engineering, University of Illinois, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, 61801, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026523226","display_name":"Yoram Bresler","orcid":"https://orcid.org/0000-0002-9738-1094"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoram Bresler","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, 61801, USA","Department of Electrical and Computer Engineering, University of Illinois, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, 61801, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.739,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80559141,"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":"6040","last_page":"6044"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.7854295969009399},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.6294937133789062},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6271456480026245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.606506884098053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5925312042236328},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.5904697179794312},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5326041579246521},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5287922024726868},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5072800517082214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4812721610069275},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.46734243631362915},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.44169536232948303},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42816802859306335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39018285274505615},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3017019033432007},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2912542521953583},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.06131032109260559}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7854295969009399},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.6294937133789062},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6271456480026245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.606506884098053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5925312042236328},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.5904697179794312},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5326041579246521},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5287922024726868},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5072800517082214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4812721610069275},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.46734243631362915},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44169536232948303},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42816802859306335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39018285274505615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3017019033432007},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2912542521953583},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.06131032109260559},{"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/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7953316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":36,"referenced_works":["https://openalex.org/W1132687469","https://openalex.org/W1890834058","https://openalex.org/W2005876975","https://openalex.org/W2013743275","https://openalex.org/W2026114584","https://openalex.org/W2038016146","https://openalex.org/W2039506751","https://openalex.org/W2049893860","https://openalex.org/W2054640142","https://openalex.org/W2056370875","https://openalex.org/W2066771519","https://openalex.org/W2075157914","https://openalex.org/W2090457307","https://openalex.org/W2094366314","https://openalex.org/W2108171241","https://openalex.org/W2112050657","https://openalex.org/W2113920645","https://openalex.org/W2119139050","https://openalex.org/W2120047933","https://openalex.org/W2140742952","https://openalex.org/W2141039087","https://openalex.org/W2145568341","https://openalex.org/W2146738562","https://openalex.org/W2149974988","https://openalex.org/W2150912629","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2257784670","https://openalex.org/W2296399167","https://openalex.org/W2641816967","https://openalex.org/W2963726588","https://openalex.org/W3100455090","https://openalex.org/W6626875590","https://openalex.org/W6660475368","https://openalex.org/W6669272935","https://openalex.org/W6682009426"],"related_works":["https://openalex.org/W2006843870","https://openalex.org/W2098237619","https://openalex.org/W1538114257","https://openalex.org/W4287081060","https://openalex.org/W2035842925","https://openalex.org/W2362249450","https://openalex.org/W2810018092","https://openalex.org/W2791234060","https://openalex.org/W2360732716","https://openalex.org/W2062514975"],"abstract_inverted_index":{"Data-driven":[0],"and":[1,104],"learning-based":[2],"sparse":[3],"signal":[4],"models":[5,8],"outperform":[6],"analytical":[7],"(e.g,":[9],"wavelets),":[10],"for":[11,36,67,95],"image":[12,37,69,96],"denoising,":[13,97],"but":[14],"require":[15],"careful":[16],"parameter":[17,34,93],"tuning":[18,35,94],"to":[19,30,63],"reach":[20],"peak":[21],"performance.":[22],"In":[23],"this":[24],"work,":[25],"we":[26,56],"provide":[27],"a":[28,48,53,79],"solution":[29],"the":[31,59,84,106],"problem":[32],"of":[33,86,108],"denoising":[38,61,70,111],"with":[39,78,101,112],"transform":[40,51,82,109],"sparsity":[41],"regularization.":[42],"We":[43],"show":[44,74],"that":[45,75],"by":[46],"viewing":[47],"learned":[49,80],"sparsifying":[50,81],"as":[52],"filter":[54],"bank":[55],"can":[57],"utilize":[58],"SURELET":[60,77,100],"algorithm":[62],"automatically":[64],"tune":[65],"parameters":[66],"an":[68],"task.":[71],"Numerical":[72],"experiments":[73],"combining":[76],"provides":[83],"best":[85],"both":[87],"worlds.":[88],"Our":[89],"approach":[90],"requires":[91],"no":[92],"yet":[98],"outperforms":[99],"analytic":[102],"transforms":[103],"matches":[105],"performance":[107],"learning":[110],"hand-tuned":[113],"parameters.":[114]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}