{"id":"https://openalex.org/W2608481350","doi":"https://doi.org/10.1109/icpr.2016.7899645","title":"Efficient JPEG decompression by the alternating direction method of multipliers","display_name":"Efficient JPEG decompression by the alternating direction method of multipliers","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608481350","doi":"https://doi.org/10.1109/icpr.2016.7899645","mag":"2608481350"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://library.utia.cas.cz/separaty/2017/ZOI/sorel-0474520.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066941447","display_name":"Michal \u0160orel","orcid":"https://orcid.org/0000-0002-8283-0512"},"institutions":[{"id":"https://openalex.org/I4210119419","display_name":"Czech Academy of Sciences, Institute of Information Theory and Automation","ror":"https://ror.org/03h1hsz49","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210119419"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Michal Sorel","raw_affiliation_strings":["Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czechia"],"affiliations":[{"raw_affiliation_string":"Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czechia","institution_ids":["https://openalex.org/I4210119419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022362849","display_name":"Michal Barto\u0161","orcid":"https://orcid.org/0000-0003-4389-7703"},"institutions":[{"id":"https://openalex.org/I4210119419","display_name":"Czech Academy of Sciences, Institute of Information Theory and Automation","ror":"https://ror.org/03h1hsz49","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210119419"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Michal Bartos","raw_affiliation_strings":["Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czechia"],"affiliations":[{"raw_affiliation_string":"Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czechia","institution_ids":["https://openalex.org/I4210119419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066941447"],"corresponding_institution_ids":["https://openalex.org/I4210119419"],"apc_list":null,"apc_paid":null,"fwci":1.8513,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84767856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"271","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7954146862030029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6218661069869995},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5381420850753784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5320625901222229},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5270172357559204},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46891793608665466},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43274545669555664},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42793524265289307},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42630016803741455},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3493584394454956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29225629568099976}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7954146862030029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6218661069869995},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5381420850753784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5320625901222229},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5270172357559204},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46891793608665466},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43274545669555664},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42793524265289307},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42630016803741455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3493584394454956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29225629568099976},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2016.7899645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:asep.lib.cas.cz:CavUnEpca/0474520","is_oa":true,"landing_page_url":"http://hdl.handle.net/11104/0271768","pdf_url":"http://library.utia.cas.cz/separaty/2017/ZOI/sorel-0474520.pdf","source":{"id":"https://openalex.org/S7407055266","display_name":"ASEP","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:asep.lib.cas.cz:CavUnEpca/0474520","is_oa":true,"landing_page_url":"http://hdl.handle.net/11104/0271768","pdf_url":"http://library.utia.cas.cz/separaty/2017/ZOI/sorel-0474520.pdf","source":{"id":"https://openalex.org/S7407055266","display_name":"ASEP","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2054612162","display_name":null,"funder_award_id":"GA16-13830S","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"},{"id":"https://openalex.org/G3781058647","display_name":null,"funder_award_id":"16-13830S","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"}],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"},{"id":"https://openalex.org/F4320322748","display_name":"Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Brn\u011b","ror":"https://ror.org/03613d656"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2608481350.pdf","grobid_xml":"https://content.openalex.org/works/W2608481350.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W18046889","https://openalex.org/W122561819","https://openalex.org/W1978280057","https://openalex.org/W1978702630","https://openalex.org/W1984077106","https://openalex.org/W1985050490","https://openalex.org/W1999829977","https://openalex.org/W2015373732","https://openalex.org/W2045991273","https://openalex.org/W2049340374","https://openalex.org/W2058532290","https://openalex.org/W2092663520","https://openalex.org/W2100705753","https://openalex.org/W2113641518","https://openalex.org/W2129276048","https://openalex.org/W2139984700","https://openalex.org/W2142058898","https://openalex.org/W2154005911","https://openalex.org/W2162461247","https://openalex.org/W2187517509","https://openalex.org/W2254624084","https://openalex.org/W2278490765","https://openalex.org/W2294182909","https://openalex.org/W2345337169","https://openalex.org/W2362164969","https://openalex.org/W2554622375","https://openalex.org/W2917583897","https://openalex.org/W4252755725","https://openalex.org/W4300783855","https://openalex.org/W6692044057","https://openalex.org/W6729933285"],"related_works":["https://openalex.org/W4322741006","https://openalex.org/W2120205576","https://openalex.org/W2134324324","https://openalex.org/W3089411267","https://openalex.org/W4312760377","https://openalex.org/W4386755416","https://openalex.org/W1900903772","https://openalex.org/W4313175577","https://openalex.org/W3173684497","https://openalex.org/W1573825567"],"abstract_inverted_index":{"Standard":[0],"decompression":[1,18],"of":[2,37,55,68,81,111,118],"JPEG":[3,98],"images":[4,95],"produces":[5],"artifacts":[6,99],"along":[7],"edges":[8],"and":[9,115],"a":[10,30,88],"disturbing":[11,97],"checkerboard":[12],"pattern.":[13],"To":[14],"reduce":[15],"these":[16],"artifacts,":[17],"can":[19,71],"be":[20,72],"formulated":[21],"as":[22],"an":[23,43],"image":[24,44],"reconstruction":[25,112],"problem":[26,70],"within":[27],"Bayesian":[28],"maximum":[29],"posteriori":[31],"probability":[32],"framework.":[33],"In":[34,60],"this":[35,61,69],"type":[36],"problem,":[38],"the":[39,49,66,77,84,123],"prior":[40],"information":[41],"about":[42],"is":[45],"typically":[46,103],"given":[47],"by":[48],"l":[50],"<sub":[51],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[52],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[53],"norm":[54],"its":[56],"sparse":[57],"domain":[58,86],"representation.":[59],"paper,":[62],"we":[63],"show":[64],"how":[65],"solution":[67],"achieved":[73],"very":[74],"efficiently":[75],"using":[76],"alternating":[78],"direction":[79],"method":[80],"multipliers":[82],"if":[83],"sparsity":[85],"forms":[87],"tight":[89,124],"frame.":[90],"The":[91,109],"proposed":[92],"algorithm":[93],"restores":[94],"without":[96],"in":[100,116],"several":[101],"iterations,":[102],"considerably":[104],"less":[105],"than":[106],"competing":[107],"algorithms.":[108],"quality":[110],"both":[113],"visually":[114],"terms":[117],"SNR":[119],"primarily":[120],"depends":[121],"on":[122],"frame":[125],"used.":[126]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}