{"id":"https://openalex.org/W1977543801","doi":"https://doi.org/10.1109/icip.2008.4712111","title":"Hardware-friendly descreening","display_name":"Hardware-friendly descreening","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W1977543801","doi":"https://doi.org/10.1109/icip.2008.4712111","mag":"1977543801"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image 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/A5108408542","display_name":"Hasib Siddiqui","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":"Hasib Siddiqui","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Sch. of Electr. and Comput. Eng., Purdue Univ., West Lafayette, IN"],"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. and Comput. Eng., Purdue Univ., West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079564554","display_name":"Mireille Boutin","orcid":"https://orcid.org/0000-0002-0837-6577"},"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":"Mireille Boutin","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Sch. of Electr. and Comput. Eng., Purdue Univ., West Lafayette, IN"],"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. and Comput. Eng., Purdue Univ., West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056657991","display_name":"Charles A. Bouman","orcid":"https://orcid.org/0000-0001-8504-0383"},"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":"Charles A. Bouman","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Sch. of Electr. and Comput. Eng., Purdue Univ., West Lafayette, IN"],"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. and Comput. Eng., Purdue Univ., West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1740","last_page":"1743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9965999722480774,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/halftone","display_name":"Halftone","score":0.9388291835784912},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.7880102396011353},{"id":"https://openalex.org/keywords/moir\u00e9-pattern","display_name":"Moir\u00e9 pattern","score":0.689457356929779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6595441102981567},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5945823192596436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5865586996078491},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5732485055923462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5625921487808228},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5569002032279968},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48654356598854065},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4696941375732422},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.44210129976272583},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.422201007604599},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4201255738735199},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4173526465892792},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4099523425102234},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08975943922996521}],"concepts":[{"id":"https://openalex.org/C2777635815","wikidata":"https://www.wikidata.org/wiki/Q1110021","display_name":"Halftone","level":3,"score":0.9388291835784912},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.7880102396011353},{"id":"https://openalex.org/C70000540","wikidata":"https://www.wikidata.org/wiki/Q26468","display_name":"Moir\u00e9 pattern","level":2,"score":0.689457356929779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6595441102981567},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5945823192596436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5865586996078491},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5732485055923462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5625921487808228},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5569002032279968},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48654356598854065},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4696941375732422},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.44210129976272583},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.422201007604599},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4201255738735199},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4173526465892792},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4099523425102234},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08975943922996521},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2008.4712111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.157.47","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.47","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/~mboutin/papers/ICIP08Hasib.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1964444943","https://openalex.org/W1975433249","https://openalex.org/W1990631152","https://openalex.org/W1992516180","https://openalex.org/W2001002651","https://openalex.org/W2031536598","https://openalex.org/W2098890773","https://openalex.org/W2099046646","https://openalex.org/W2103774300","https://openalex.org/W2109863423","https://openalex.org/W2118162919","https://openalex.org/W2134953536","https://openalex.org/W2138559722","https://openalex.org/W2141144843","https://openalex.org/W2141936613","https://openalex.org/W2150134853","https://openalex.org/W2151958211","https://openalex.org/W2171342205","https://openalex.org/W2487933172","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2354008177","https://openalex.org/W96325096","https://openalex.org/W1974139717","https://openalex.org/W2021479660","https://openalex.org/W1992710232","https://openalex.org/W2460220942","https://openalex.org/W2029891644","https://openalex.org/W3022201711","https://openalex.org/W2039577257","https://openalex.org/W2084293898"],"abstract_inverted_index":{"Conventional":[0],"electrophotographic":[1],"printers":[2],"tend":[3],"to":[4,122,143],"produce":[5],"Moire":[6],"artifacts":[7],"when":[8],"used":[9,121],"for":[10],"printing":[11],"images":[12],"scanned":[13,48],"from":[14,66,98],"printed":[15],"material":[16],"such":[17],"as":[18],"books":[19],"and":[20,32,54,147],"magazines.":[21],"Inspired":[22],"by":[23,72,131],"anisotropic":[24],"diffusion,":[25],"we":[26],"propose":[27],"a":[28,39,47,89,99,103,127],"novel":[29],"non-iterative,":[30],"non-linear,":[31],"space-variant":[33],"de-":[34],"screening":[35],"filter":[36,69,87],"that":[37,78,149],"removes":[38],"wide":[40],"range":[41],"of":[42,59,61,75,106,115,126,139],"Moire-causing":[43],"screen":[44],"frequencies":[45],"in":[46,102],"document":[49],"while":[50,159],"preserving":[51],"image":[52,63],"sharpness":[53],"edge":[55],"detail.":[56],"The":[57],"amount":[58],"diffusion":[60,129],"the":[62,68,76,86,107,132,137,140,150,156],"intensity":[64,95,133],"resulting":[65],"applying":[67],"is":[70,79],"governed":[71],"an":[73],"estimate":[74],"gradient":[77],"robust":[80],"under":[81],"halftone":[82],"noise.":[83],"More":[84],"precisely,":[85],"extracts":[88],"spatial":[90],"feature":[91,117],"vector":[92,118],"comprising":[93],"local":[94,100],"gradients":[96],"estimated":[97],"window":[101],"pre-smoothed":[104],"version":[105],"noisy":[108],"input":[109],"image.":[110],"Tunable":[111],"non-linear":[112],"polynomial":[113],"functions":[114],"this":[116],"are":[119],"then":[120],"perform":[123],"one":[124],"iteration":[125],"discrete":[128],"controlled":[130],"gradient.":[134],"We":[135],"compare":[136],"performance":[138],"proposed":[141],"algorithm":[142,152],"other":[144],"descreening":[145],"solutions":[146],"demonstrate":[148],"new":[151],"improves":[153],"quality":[154],"over":[155],"existing":[157],"methods":[158],"reducing":[160],"computation.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
