{"id":"https://openalex.org/W2762648431","doi":"https://doi.org/10.1109/tip.2017.2760513","title":"Variational Decompression of Image Data From DjVu Encoded Files","display_name":"Variational Decompression of Image Data From DjVu Encoded Files","publication_year":2017,"publication_date":"2017-10-06","ids":{"openalex":"https://openalex.org/W2762648431","doi":"https://doi.org/10.1109/tip.2017.2760513","mag":"2762648431","pmid":"https://pubmed.ncbi.nlm.nih.gov/28991741"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2760513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2760513","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5024313766","display_name":"Martin H\u00f6ller","orcid":"https://orcid.org/0000-0002-2895-2375"},"institutions":[{"id":"https://openalex.org/I15766117","display_name":"University of Graz","ror":"https://ror.org/01faaaf77","country_code":"AT","type":"education","lineage":["https://openalex.org/I15766117"]},{"id":"https://openalex.org/I4210117258","display_name":"BioTechMed-Graz","ror":"https://ror.org/02jfbm483","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210117258"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Martin Holler","raw_affiliation_strings":["Institute of Mathematics and Scientific Computing (a member of NAWI Graz and BioTechMed Graz), University of Graz, Graz, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Scientific Computing (a member of NAWI Graz and BioTechMed Graz), University of Graz, Graz, Austria","institution_ids":["https://openalex.org/I4210117258","https://openalex.org/I15766117"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081419273","display_name":"Kamil S. Kazimierski","orcid":"https://orcid.org/0000-0003-3350-1699"},"institutions":[{"id":"https://openalex.org/I15766117","display_name":"University of Graz","ror":"https://ror.org/01faaaf77","country_code":"AT","type":"education","lineage":["https://openalex.org/I15766117"]},{"id":"https://openalex.org/I4210117258","display_name":"BioTechMed-Graz","ror":"https://ror.org/02jfbm483","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210117258"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Kamil S. Kazimierski","raw_affiliation_strings":["Institute of Mathematics and Scientific Computing (a member of NAWI Graz and BioTechMed Graz), University of Graz, Graz, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Scientific Computing (a member of NAWI Graz and BioTechMed Graz), University of Graz, Graz, Austria","institution_ids":["https://openalex.org/I4210117258","https://openalex.org/I15766117"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024313766"],"corresponding_institution_ids":["https://openalex.org/I15766117","https://openalex.org/I4210117258"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64367127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":"1","first_page":"490","last_page":"499"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.794988751411438},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6358864307403564},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6344835758209229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5993481874465942},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5664584040641785},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.48353028297424316},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.4692901074886322},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.46596789360046387},{"id":"https://openalex.org/keywords/block-truncation-coding","display_name":"Block Truncation Coding","score":0.44874992966651917},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.43968555331230164},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4246841073036194},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.40347230434417725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28025591373443604},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22677543759346008},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10218894481658936}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.794988751411438},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6358864307403564},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6344835758209229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993481874465942},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5664584040641785},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.48353028297424316},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4692901074886322},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.46596789360046387},{"id":"https://openalex.org/C20914364","wikidata":"https://www.wikidata.org/wiki/Q4927178","display_name":"Block Truncation Coding","level":5,"score":0.44874992966651917},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.43968555331230164},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4246841073036194},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.40347230434417725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28025591373443604},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22677543759346008},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10218894481658936},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2017.2760513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2760513","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:28991741","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28991741","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1544177383","https://openalex.org/W1970342212","https://openalex.org/W1995276029","https://openalex.org/W2000594266","https://openalex.org/W2004025832","https://openalex.org/W2015373732","https://openalex.org/W2016999436","https://openalex.org/W2046670074","https://openalex.org/W2050872129","https://openalex.org/W2056370875","https://openalex.org/W2060945009","https://openalex.org/W2073640678","https://openalex.org/W2092472793","https://openalex.org/W2092663520","https://openalex.org/W2097073572","https://openalex.org/W2099726899","https://openalex.org/W2103559027","https://openalex.org/W2113030459","https://openalex.org/W2117188745","https://openalex.org/W2133665775","https://openalex.org/W2149625672","https://openalex.org/W2152113766","https://openalex.org/W2187517509","https://openalex.org/W4252755725","https://openalex.org/W4300783855","https://openalex.org/W4301021743","https://openalex.org/W6675039116"],"related_works":["https://openalex.org/W4287393224","https://openalex.org/W2541319825","https://openalex.org/W3118996461","https://openalex.org/W1680283075","https://openalex.org/W4239869440","https://openalex.org/W2342447567","https://openalex.org/W2357670775","https://openalex.org/W2380116549","https://openalex.org/W3080614128","https://openalex.org/W25358282"],"abstract_inverted_index":{"The":[0,52,86],"DjVu":[1,100,131,172,184],"file":[2,173],"format":[3],"and":[4,28,31,45,64,110,154,174,178],"image":[5],"compression":[6,41,48,54,73,77,114,138],"techniques":[7],"are":[8,20],"widely":[9],"used":[10],"in":[11,69,79,183],"the":[12,21,24,43,50,56,80,84,96,113,137,145,165,176],"archival":[13],"of":[14,23,42,49,55,83,88,99,112,136,147],"digital":[15],"documents.":[16],"Its":[17],"key":[18],"ingredients":[19],"separation":[22],"document":[25],"into":[26],"fore-":[27],"background":[29],"layers":[30,57],"a":[32,38,46,61,117,149,170],"binary":[33],"switching":[34],"mask,":[35],"followed":[36],"by":[37],"lossy,":[39],"transform-based":[40],"former":[44],"dictionary-based":[47],"latter.":[51],"lossy":[53],"is":[58,91],"based":[59],"on":[60,120],"wavelet":[62],"decomposition":[63],"bit":[65],"truncation,":[66],"which":[67],"leads,":[68],"particular":[70,118,141],"at":[71],"higher":[72],"rates,":[74],"to":[75,92,128],"severe":[76],"artifacts":[78],"standard":[81,115],"decompression":[82,98,132],"layers.":[85],"aim":[87],"this":[89,103],"paper":[90],"break":[93],"ground":[94],"for":[95,124,163,175],"variational":[97],"files.":[101],"To":[102],"aim,":[104],"we":[105,143,160],"provide":[106,161],"an":[107],"in-depth":[108],"analysis":[109],"discussion":[111],"with":[116],"focus":[119],"modeling":[121],"data":[122,167],"constraints":[123,168],"decompression.":[125],"This":[126],"allows":[127],"carry":[129],"out":[130],"as":[133],"regularized":[134],"inversion":[135],"procedure.":[139],"As":[140],"example,":[142],"evaluate":[144],"performance":[146],"such":[148],"framework":[150],"using":[151],"total":[152,155],"variation":[153,157],"generalized":[156],"regularization.":[158],"Furthermore,":[159],"routines":[162],"obtaining":[164],"necessary":[166],"from":[169],"compressed":[171],"forward":[177],"adjoint":[179],"transformation":[180],"operator":[181],"involved":[182],"compression.":[185]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
