{"id":"https://openalex.org/W2128026399","doi":"https://doi.org/10.1109/tip.2009.2028252","title":"A Document Image Model and Estimation Algorithm for Optimized JPEG Decompression","display_name":"A Document Image Model and Estimation Algorithm for Optimized JPEG Decompression","publication_year":2009,"publication_date":"2009-07-28","ids":{"openalex":"https://openalex.org/W2128026399","doi":"https://doi.org/10.1109/tip.2009.2028252","mag":"2128026399","pmid":"https://pubmed.ncbi.nlm.nih.gov/19635703"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2009.2028252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2028252","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/A5076596000","display_name":"Tak-Shing Wong","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tak-Shing Wong","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA. wong17@ecn.purdue.edu","Sch. of Electr. & Comput. engineering, Purdue Univ., West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA. wong17@ecn.purdue.edu","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. engineering, Purdue Univ., West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009041296","display_name":"C.A. Bouman","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.A. Bouman","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Sch. of Electr. & Comput. engineering, Purdue Univ., West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. engineering, Purdue Univ., West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083517175","display_name":"Ilya Pollak","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I. Pollak","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Sch. of Electr. & Comput. engineering, Purdue Univ., West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. engineering, Purdue Univ., West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032649501","display_name":"Zhigang Fan","orcid":"https://orcid.org/0000-0002-4628-1915"},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]},{"id":"https://openalex.org/I4210132870","display_name":"Xerox (United States)","ror":"https://ror.org/03jwzwq24","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132870"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Zhigang Fan","raw_affiliation_strings":["Xerox Research and Technology, Xerox Corporation, Webster, NY, USA","[Xerox Research and Technology, Xerox Corporation, Webster, NY, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research and Technology, Xerox Corporation, Webster, NY, USA","institution_ids":["https://openalex.org/I4210132870"]},{"raw_affiliation_string":"[Xerox Research and Technology, Xerox Corporation, Webster, NY, USA]","institution_ids":["https://openalex.org/I33976269"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6424,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86093873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"11","first_page":"2518","last_page":"2535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9958999752998352,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9944000244140625,"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/jpeg","display_name":"JPEG","score":0.8320173621177673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7197059392929077},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.6730359792709351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.636536717414856},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6169536113739014},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.616308867931366},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6086472272872925},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.5618668794631958},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.46288391947746277},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4272482991218567},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4204283356666565},{"id":"https://openalex.org/keywords/ringing","display_name":"Ringing","score":0.41847431659698486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3902529776096344},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.344277024269104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30322444438934326},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21472099423408508},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.17587938904762268},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.07385054230690002}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.8320173621177673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7197059392929077},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.6730359792709351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.636536717414856},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6169536113739014},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.616308867931366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6086472272872925},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.5618668794631958},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.46288391947746277},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4272482991218567},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4204283356666565},{"id":"https://openalex.org/C30684385","wikidata":"https://www.wikidata.org/wiki/Q176509","display_name":"Ringing","level":3,"score":0.41847431659698486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3902529776096344},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.344277024269104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30322444438934326},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21472099423408508},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.17587938904762268},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.07385054230690002}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tip.2009.2028252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2028252","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:19635703","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19635703","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},{"id":"pmh:oai:docs.lib.purdue.edu:ecepubs-1026","is_oa":false,"landing_page_url":"https://docs.lib.purdue.edu/ecepubs/27","pdf_url":null,"source":{"id":"https://openalex.org/S4377196310","display_name":"Purdue e-Pubs (Purdue University System)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801333002","host_organization_name":"Purdue University System","host_organization_lineage":["https://openalex.org/I2801333002"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Department of Electrical and Computer Engineering Faculty Publications","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.7977","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.7977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dynamo.ecn.purdue.edu/~ipollak/document_decoding_TIP_2009.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.154.8535","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.8535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.purdue.edu/~bouman/publications/orig-pdf/tip27.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W35410341","https://openalex.org/W79749824","https://openalex.org/W109683945","https://openalex.org/W1500551892","https://openalex.org/W1536252645","https://openalex.org/W1554544485","https://openalex.org/W1967879137","https://openalex.org/W1991244327","https://openalex.org/W1992516180","https://openalex.org/W1997057955","https://openalex.org/W2000192965","https://openalex.org/W2018942646","https://openalex.org/W2040903332","https://openalex.org/W2073640678","https://openalex.org/W2092820687","https://openalex.org/W2100115174","https://openalex.org/W2101897555","https://openalex.org/W2110691818","https://openalex.org/W2114220616","https://openalex.org/W2114626566","https://openalex.org/W2117780481","https://openalex.org/W2121728353","https://openalex.org/W2127218421","https://openalex.org/W2141620200","https://openalex.org/W2141991262","https://openalex.org/W2144877729","https://openalex.org/W2149414429","https://openalex.org/W2153512440","https://openalex.org/W2158724566","https://openalex.org/W2167196164","https://openalex.org/W2170669373","https://openalex.org/W2997387466","https://openalex.org/W4212783130","https://openalex.org/W4377983905"],"related_works":["https://openalex.org/W2371052472","https://openalex.org/W2542380031","https://openalex.org/W2354615002","https://openalex.org/W2368443480","https://openalex.org/W2118779391","https://openalex.org/W2120324564","https://openalex.org/W2068983890","https://openalex.org/W2977799294","https://openalex.org/W2128026399","https://openalex.org/W2153948941"],"abstract_inverted_index":{"The":[0,75,101,120],"JPEG":[1,16,57,73,108,164],"standard":[2,72],"is":[3,25,61],"one":[4],"of":[5,32,47,94,141,154,182],"the":[6,30,45,70,85,91,107,138,142,151,162,180],"most":[7],"prevalent":[8],"image":[9,82],"compression":[10],"schemes":[11],"in":[12,51,96],"use":[13,20],"today.":[14],"While":[15],"was":[17],"designed":[18,62],"for":[19,29,90,150],"with":[21],"natural":[22],"images,":[23,184],"it":[24],"also":[26],"widely":[27],"used":[28],"encoding":[31],"raster":[33],"documents.":[34,53,100],"Unfortunately,":[35],"JPEG's":[36],"characteristic":[37],"blocking":[38],"and":[39,49,117,125,156,187],"ringing":[40],"artifacts":[41],"can":[42],"severely":[43],"degrade":[44],"quality":[46,67,181],"text":[48,124,143,155],"graphics":[50],"complex":[52,98],"We":[54],"propose":[55],"a":[56,80,132,146],"decompression":[58],"algorithm":[59],"which":[60,88,148],"to":[63,114,123,161,169],"produce":[64],"substantially":[65,178],"higher":[66],"images":[68],"from":[69],"same":[71],"encodings.":[74],"method":[76,102,177],"works":[77,103],"by":[78,104,190],"incorporating":[79],"document":[81,110],"model":[83,147],"into":[84,111],"decoding":[86,165,172],"process":[87],"accounts":[89,149],"wide":[92],"variety":[93],"content":[95],"modern":[97],"color":[99],"first":[105],"segmenting":[106],"encoded":[109],"regions":[112,121,144],"corresponding":[113,122],"background,":[115],"text,":[116],"picture":[118],"content.":[119],"background":[126],"are":[127],"then":[128],"decoded":[129,183],"using":[130],"maximum":[131],"posteriori":[133],"(MAP)":[134],"estimation.":[135],"Most":[136],"importantly,":[137],"MAP":[139],"reconstruction":[140],"uses":[145],"spatial":[152],"characteristics":[153],"graphics.":[157],"Our":[158],"experimental":[159],"comparisons":[160],"baseline":[163],"as":[166,168,188],"well":[167],"three":[170],"other":[171],"schemes,":[173],"demonstrate":[174],"that":[175],"our":[176],"improves":[179],"both":[185],"visually":[186],"measured":[189],"PSNR.":[191]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}