{"id":"https://openalex.org/W4377861873","doi":"https://doi.org/10.1109/tvcg.2023.3278691","title":"Taming Reversible Halftoning Via Predictive Luminance","display_name":"Taming Reversible Halftoning Via Predictive Luminance","publication_year":2023,"publication_date":"2023-05-23","ids":{"openalex":"https://openalex.org/W4377861873","doi":"https://doi.org/10.1109/tvcg.2023.3278691","pmid":"https://pubmed.ncbi.nlm.nih.gov/37220038"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2023.3278691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3278691","pdf_url":"https://ieeexplore.ieee.org/ielx7/2945/4359476/10131911.pdf","source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/2945/4359476/10131911.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102982395","display_name":"Cheuk-Kit Lau","orcid":"https://orcid.org/0000-0003-3293-8362"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheuk-Kit Lau","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046222739","display_name":"Menghan Xia","orcid":"https://orcid.org/0000-0001-9664-4967"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I174135032","display_name":"Bellevue College","ror":"https://ror.org/05gr4yv49","country_code":"US","type":"education","lineage":["https://openalex.org/I174135032"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Menghan Xia","raw_affiliation_strings":["Tencent AI Lab., Bellevue, WA, USA","Tencent AI Lab, USA"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab., Bellevue, WA, USA","institution_ids":["https://openalex.org/I2250653659","https://openalex.org/I174135032"]},{"raw_affiliation_string":"Tencent AI Lab, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017857966","display_name":"Tien\u2010Tsin Wong","orcid":"https://orcid.org/0000-0002-7792-9307"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tien-Tsin Wong","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102982395"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.2047,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50295252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":"8","first_page":"4841","last_page":"4852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9894999861717224,"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/T12496","display_name":"Color perception and design","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/halftone","display_name":"Halftone","score":0.9843544960021973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8336969614028931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6889098286628723},{"id":"https://openalex.org/keywords/dither","display_name":"Dither","score":0.5891412496566772},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5094075798988342},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.45411989092826843},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41710710525512695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39324167370796204},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.28111374378204346},{"id":"https://openalex.org/keywords/noise-shaping","display_name":"Noise shaping","score":0.16217833757400513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10071152448654175}],"concepts":[{"id":"https://openalex.org/C2777635815","wikidata":"https://www.wikidata.org/wiki/Q1110021","display_name":"Halftone","level":3,"score":0.9843544960021973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8336969614028931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6889098286628723},{"id":"https://openalex.org/C70451592","wikidata":"https://www.wikidata.org/wiki/Q376493","display_name":"Dither","level":3,"score":0.5891412496566772},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5094075798988342},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.45411989092826843},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41710710525512695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39324167370796204},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.28111374378204346},{"id":"https://openalex.org/C9083635","wikidata":"https://www.wikidata.org/wiki/Q2133535","display_name":"Noise shaping","level":2,"score":0.16217833757400513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10071152448654175},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2023.3278691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3278691","pdf_url":"https://ieeexplore.ieee.org/ielx7/2945/4359476/10131911.pdf","source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:37220038","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37220038","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 visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:2306.08309","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.08309","pdf_url":"https://arxiv.org/pdf/2306.08309","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1109/tvcg.2023.3278691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3278691","pdf_url":"https://ieeexplore.ieee.org/ielx7/2945/4359476/10131911.pdf","source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377861873.pdf","grobid_xml":"https://content.openalex.org/works/W4377861873.grobid-xml"},"referenced_works_count":97,"referenced_works":["https://openalex.org/W1572161879","https://openalex.org/W1575643101","https://openalex.org/W1600963723","https://openalex.org/W1686810756","https://openalex.org/W1963512107","https://openalex.org/W1974450180","https://openalex.org/W1978957706","https://openalex.org/W1991007232","https://openalex.org/W1992554832","https://openalex.org/W1995875735","https://openalex.org/W2006045909","https://openalex.org/W2019088836","https://openalex.org/W2028352750","https://openalex.org/W2030289521","https://openalex.org/W2043682027","https://openalex.org/W2048181291","https://openalex.org/W2053717006","https://openalex.org/W2069724725","https://openalex.org/W2083988407","https://openalex.org/W2089113904","https://openalex.org/W2091048677","https://openalex.org/W2093437150","https://openalex.org/W2097369190","https://openalex.org/W2098890773","https://openalex.org/W2102493018","https://openalex.org/W2108456392","https://openalex.org/W2111563428","https://openalex.org/W2114069527","https://openalex.org/W2118162919","https://openalex.org/W2120848522","https://openalex.org/W2124368632","https://openalex.org/W2126015413","https://openalex.org/W2128084896","https://openalex.org/W2137668463","https://openalex.org/W2138725603","https://openalex.org/W2139049821","https://openalex.org/W2140199336","https://openalex.org/W2147399030","https://openalex.org/W2153638435","https://openalex.org/W2158474074","https://openalex.org/W2159978942","https://openalex.org/W2160598555","https://openalex.org/W2162402353","https://openalex.org/W2167090521","https://openalex.org/W2169620021","https://openalex.org/W2242818861","https://openalex.org/W2272189093","https://openalex.org/W2286419477","https://openalex.org/W2526280794","https://openalex.org/W2562072950","https://openalex.org/W2794618433","https://openalex.org/W2809790008","https://openalex.org/W2883233582","https://openalex.org/W2894234546","https://openalex.org/W2898631838","https://openalex.org/W2919511482","https://openalex.org/W2945919536","https://openalex.org/W2946597952","https://openalex.org/W2954340342","https://openalex.org/W2962785568","https://openalex.org/W2972656615","https://openalex.org/W2988579732","https://openalex.org/W2993383518","https://openalex.org/W2997421813","https://openalex.org/W3005381663","https://openalex.org/W3010874390","https://openalex.org/W3024397207","https://openalex.org/W3098987646","https://openalex.org/W3107032263","https://openalex.org/W3141680629","https://openalex.org/W3153623182","https://openalex.org/W3173217100","https://openalex.org/W3177065237","https://openalex.org/W3196200688","https://openalex.org/W4214723982","https://openalex.org/W4225815576","https://openalex.org/W4231261980","https://openalex.org/W4236789552","https://openalex.org/W4247052561","https://openalex.org/W4249277283","https://openalex.org/W4251115839","https://openalex.org/W4287330714","https://openalex.org/W4289761690","https://openalex.org/W4297798428","https://openalex.org/W4297808394","https://openalex.org/W4298393859","https://openalex.org/W4321274239","https://openalex.org/W6635831535","https://openalex.org/W6637373629","https://openalex.org/W6686583229","https://openalex.org/W6690026940","https://openalex.org/W6714644935","https://openalex.org/W6747624847","https://openalex.org/W6755609140","https://openalex.org/W6764817228","https://openalex.org/W6790749177","https://openalex.org/W6844194202"],"related_works":["https://openalex.org/W2147758750","https://openalex.org/W2169172224","https://openalex.org/W2020245493","https://openalex.org/W2762579005","https://openalex.org/W1993315740","https://openalex.org/W1749173910","https://openalex.org/W764555139","https://openalex.org/W2116595504","https://openalex.org/W2002739498","https://openalex.org/W2543386930"],"abstract_inverted_index":{"Traditional":[0],"halftoning":[1,25,46],"usually":[2],"drops":[3],"colors":[4],"when":[5],"dithering":[6],"images":[7],"with":[8,36,130,213],"binary":[9,34],"dots,":[10],"which":[11,104],"makes":[12],"it":[13],"difficult":[14],"to":[15,39,55,67,76,97,123,127,200],"recover":[16],"the":[17,57,69,78,81,102,109,114,121,136,142,172,202],"original":[18,41],"color":[19,30],"information.":[20],"We":[21,152],"proposed":[22,93],"a":[23,29,33,62,94,209,214],"novel":[24,44,89,160,188],"technique":[26,47],"that":[27],"converts":[28],"image":[31],"into":[32],"halftone":[35,59,115,167,181],"full":[37],"restorability":[38],"its":[40],"version.":[42],"Our":[43,176],"base":[45,90,189],"consists":[48],"of":[49,73,205],"two":[50],"convolutional":[51],"neural":[52],"networks":[53],"(CNNs)":[54],"produce":[56,128],"reversible":[58],"patterns,":[60],"and":[61,84,146,158,171,207],"noise":[63],"incentive":[64],"block":[65],"(NIB)":[66],"mitigate":[68],"flatness":[70],"degradation":[71],"issue":[72],"CNNs.":[74],"Furthermore,":[75],"tackle":[77],"conflicts":[79],"between":[80],"blue-noise":[82,132,203],"quality":[83,133,204,212],"restoration":[85,137,169,211],"accuracy":[86],"in":[87,105],"our":[88,106,155,159,180,187,194],"method,":[91],"we":[92],"predictor-embedded":[95,156,195],"approach":[96,119],"offload":[98],"predictable":[99],"information":[100,111,185],"from":[101,113],"network,":[103],"case":[107],"is":[108],"luminance":[110],"resembling":[112],"pattern.":[116],"Such":[117],"an":[118],"allows":[120],"network":[122],"gain":[124],"more":[125,198],"flexibility":[126,199],"halftones":[129,206],"better":[131],"without":[134],"compromising":[135],"quality.":[138],"Detailed":[139],"studies":[140],"on":[141,165],"multiple-stage":[143],"training":[144],"method":[145,157,161,196],"loss":[147],"weightings":[148],"have":[149,153],"been":[150],"conducted.":[151],"compared":[154],"regarding":[162],"spectrum":[163],"analysis":[164],"halftone,":[166],"accuracy,":[168,170],"data":[173],"embedding":[174],"studies.":[175],"entropy":[177],"evaluation":[178],"evidences":[179],"contains":[182],"less":[183],"encoding":[184],"than":[186],"method.":[190],"The":[191],"experiments":[192],"show":[193],"gains":[197],"improve":[201],"maintains":[208],"comparable":[210],"higher":[215],"tolerance":[216],"for":[217],"disturbances.":[218]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
