{"id":"https://openalex.org/W2025715789","doi":"https://doi.org/10.1109/icip.2010.5651627","title":"Watermarking using multiple visual channels for perceptual color spaces","display_name":"Watermarking using multiple visual channels for perceptual color spaces","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2025715789","doi":"https://doi.org/10.1109/icip.2010.5651627","mag":"2025715789"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5651627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"preprint","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/A5083084430","display_name":"Wadood Abdul","orcid":"https://orcid.org/0000-0002-6871-6633"},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wadood Abdul","raw_affiliation_strings":["Laboratory SIC-XLIM, University of Poitiers, Chasseneuil, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory SIC-XLIM, University of Poitiers, Chasseneuil, France","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068169565","display_name":"Philippe Carr\u00e9","orcid":"https://orcid.org/0000-0001-8743-3957"},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Carre","raw_affiliation_strings":["Laboratory SIC-XLIM, University of Poitiers, Chasseneuil, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory SIC-XLIM, University of Poitiers, Chasseneuil, France","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078538606","display_name":"Hakim Saadane","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hakim Saadane","raw_affiliation_strings":["Laboratory SIC-XLIM, University of Poitiers, Chasseneuil, France","Universiry of Nantes","University of Nantes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory SIC-XLIM, University of Poitiers, Chasseneuil, France","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"Universiry of Nantes","institution_ids":[]},{"raw_affiliation_string":"University of Nantes, France","institution_ids":["https://openalex.org/I97188460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019785896","display_name":"Philippe Gaborit","orcid":"https://orcid.org/0000-0002-4034-521X"},"institutions":[{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]},{"id":"https://openalex.org/I65806277","display_name":"Universit\u00e9 de Limoges","ror":"https://ror.org/02cp04407","country_code":"FR","type":"education","lineage":["https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Gaborit","raw_affiliation_strings":["Laboratory DMI-XLIM University of Limoges, Limoges, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory DMI-XLIM University of Limoges, Limoges, France","institution_ids":["https://openalex.org/I4210093397","https://openalex.org/I65806277"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6458,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69968325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"2597","last_page":"2600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998000264167786,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998000264167786,"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/T11666","display_name":"Color Science and Applications","score":0.9958000183105469,"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":0.9940999746322632,"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/color-space","display_name":"Color space","score":0.8240998983383179},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7641067504882812},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.7580081820487976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7081756591796875},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.6521799564361572},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6221780180931091},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5515791773796082},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.534563422203064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5142114162445068},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.49252399802207947},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.4695475697517395},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4285017251968384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42584818601608276},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4246375262737274},{"id":"https://openalex.org/keywords/lightness","display_name":"Lightness","score":0.41723623871803284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35026925802230835},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3429645001888275},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3421882390975952},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20649653673171997},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0734773576259613}],"concepts":[{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.8240998983383179},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7641067504882812},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.7580081820487976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7081756591796875},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.6521799564361572},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6221780180931091},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5515791773796082},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.534563422203064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5142114162445068},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.49252399802207947},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.4695475697517395},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4285017251968384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42584818601608276},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4246375262737274},{"id":"https://openalex.org/C193601281","wikidata":"https://www.wikidata.org/wiki/Q19426","display_name":"Lightness","level":2,"score":0.41723623871803284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35026925802230835},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3429645001888275},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3421882390975952},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20649653673171997},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0734773576259613},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5651627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1992649260","https://openalex.org/W2000512760","https://openalex.org/W2012533933","https://openalex.org/W2027914108","https://openalex.org/W2030013542","https://openalex.org/W2067398582","https://openalex.org/W2117853853","https://openalex.org/W2133665775","https://openalex.org/W2136909203","https://openalex.org/W2165046009"],"related_works":["https://openalex.org/W2354322567","https://openalex.org/W3198104320","https://openalex.org/W4382939493","https://openalex.org/W2786303146","https://openalex.org/W4388726211","https://openalex.org/W3123096349","https://openalex.org/W4241886099","https://openalex.org/W2916810246","https://openalex.org/W2044382768","https://openalex.org/W2039176266"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,18],"perception":[4],"based":[5],"watermarking":[6,20],"algorithm":[7],"for":[8,26,58,99,112,142],"perceptually":[9],"uniform":[10],"color":[11,41,61,84,101,108,137],"spaces.":[12,42,62],"The":[13,43,63,78,96,127],"image":[14,51],"is":[15,46,110,139],"watermarked":[16],"using":[17,91],"blind":[19],"scheme":[21],"in":[22,145],"the":[23,27,50,60,69,74,83,114,124,130,135],"contourlet":[24,44,64],"domain":[25],"RGB,":[28],"CIELAB,":[29],"Y":[30],"UV":[31],"and":[32,93,103],"AC":[33],"<sub":[34,38],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[35,39],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[36],"C":[37],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[40],"transform":[45,65],"used":[47],"to":[48,67,121],"decompose":[49],"into":[52],"directional":[53],"subbands":[54],"at":[55],"multiple":[56],"levels":[57],"all":[59,82,113],"allows":[66],"models":[68],"spatial":[70],"frequency":[71],"selectivity":[72],"of":[73,81,129,147],"human":[75,148],"visual":[76,97],"system.":[77],"invisibility":[79],"results":[80,128],"spaces":[85],"are":[86,118],"compared":[87],"with":[88,106],"each":[89,100],"other":[90,107],"CIEDE2000":[92],"SSIM":[94],"metrics.":[95],"distortion":[98],"component":[102],"its":[104],"interaction":[105],"components":[109],"considered":[111],"subbands.":[115],"Subjective":[116],"tests":[117],"carried":[119],"out":[120],"further":[122],"validate":[123],"objective":[125],"results.":[126],"testing":[131],"procedures":[132],"show":[133],"that":[134],"YUV":[136],"space":[138],"best":[140],"suited":[141],"watermark":[143],"insertion":[144],"terms":[146],"perception.":[149]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
