{"id":"https://openalex.org/W2132498731","doi":"https://doi.org/10.1109/icassp.2009.4959819","title":"AN ℓ<sup>1</sup>-TV algorithm for deconvolution with salt and pepper noise","display_name":"AN ℓ<sup>1</sup>-TV algorithm for deconvolution with salt and pepper noise","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2132498731","doi":"https://doi.org/10.1109/icassp.2009.4959819","mag":"2132498731"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal 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/A5015244709","display_name":"Brendt Wohlberg","orcid":"https://orcid.org/0000-0002-4767-1843"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brendt Wohlberg","raw_affiliation_strings":["T-7 Mathematical Modeling and Analysis, Los Alamos National Laboratory, Los Alamos, NM, USA","T-7 Mathematical Modeling and Analysis, Los Alamos National Laboratory, NM 87545, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T-7 Mathematical Modeling and Analysis, Los Alamos National Laboratory, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]},{"raw_affiliation_string":"T-7 Mathematical Modeling and Analysis, Los Alamos National Laboratory, NM 87545, USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077092609","display_name":"Paul Rodr\u00edguez","orcid":"https://orcid.org/0000-0002-8501-0907"},"institutions":[{"id":"https://openalex.org/I65285256","display_name":"Pontificia Universidad Cat\u00f3lica del Per\u00fa","ror":"https://ror.org/00013q465","country_code":"PE","type":"education","lineage":["https://openalex.org/I65285256"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Paul Rodriguez","raw_affiliation_strings":["Digital Signal Processing Group, Pontificia Universidad Cat\u00f3lica del Per\u00fa Lima, Peru","[Digital Signal Processing Group, Pontificia Universidad Cat\u00f3lica del Per\u00fa Lima, Peru]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Signal Processing Group, Pontificia Universidad Cat\u00f3lica del Per\u00fa Lima, Peru","institution_ids":["https://openalex.org/I65285256"]},{"raw_affiliation_string":"[Digital Signal Processing Group, Pontificia Universidad Cat\u00f3lica del Per\u00fa Lima, Peru]","institution_ids":["https://openalex.org/I65285256"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7331,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85653244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1257","last_page":"1260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9987999796867371,"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/deconvolution","display_name":"Deconvolution","score":0.8373104929924011},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5986703634262085},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5845884680747986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43423426151275635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42736077308654785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24129658937454224}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8373104929924011},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5986703634262085},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5845884680747986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43423426151275635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42736077308654785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24129658937454224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4959819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338304","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W19793066","https://openalex.org/W1962625785","https://openalex.org/W1971563238","https://openalex.org/W1998999283","https://openalex.org/W2033894760","https://openalex.org/W2034713765","https://openalex.org/W2040378863","https://openalex.org/W2043394915","https://openalex.org/W2093133114","https://openalex.org/W2103559027","https://openalex.org/W2104064396","https://openalex.org/W2111841405","https://openalex.org/W2114487471","https://openalex.org/W2118427319","https://openalex.org/W2148062657","https://openalex.org/W2167400582","https://openalex.org/W6600792419"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W3090782779","https://openalex.org/W4251527294","https://openalex.org/W4250106855","https://openalex.org/W2037261263","https://openalex.org/W3149087629","https://openalex.org/W4231036715","https://openalex.org/W2032074591","https://openalex.org/W2562325497"],"abstract_inverted_index":{"There":[0],"has":[1,40],"recently":[2],"been":[3],"considerable":[4],"interest":[5],"in":[6,81],"applying":[7],"Total":[8],"Variation":[9],"regularization":[10],"with":[11,61,84],"an":[12,62],"\u21131data":[13],"fidelity":[14],"term":[15],"to":[16,22,33,76],"the":[17,28,49],"denoising":[18],"of":[19,30,51],"images":[20],"subject":[21],"salt":[23],"and":[24],"pepper":[25],"noise,":[26],"but":[27],"extension":[29],"this":[31,46],"formulation":[32],"more":[34],"general":[35],"problems,":[36],"such":[37],"as":[38],"deconvolution,":[39,53],"received":[41],"little":[42],"attention.":[43],"We":[44],"consider":[45],"problem,":[47],"comparing":[48],"performance":[50],"\u21131-TV":[52,71],"computed":[54],"via":[55],"our":[56],"Iteratively":[57],"Reweighted":[58],"Norm":[59],"algorithm,":[60],"alternative":[63],"variational":[64],"approach":[65],"based":[66],"on":[67],"Mumford-Shah":[68],"regularization.":[69],"The":[70],"deconvolution":[72],"method":[73],"is":[74],"found":[75],"have":[77],"a":[78],"significant":[79],"advantage":[80],"reconstruction":[82],"quality,":[83],"comparable":[85],"computational":[86],"cost.":[87]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}