{"id":"https://openalex.org/W1601944196","doi":null,"title":"Multichannel Watermarking of Color Images Based on Principal Component Analysis","display_name":"Multichannel Watermarking of Color Images Based on Principal Component Analysis","publication_year":2005,"publication_date":"2005-09-01","ids":{"openalex":"https://openalex.org/W1601944196","mag":"1601944196"},"language":"ko","primary_location":{"id":"mag:1601944196","doi":null,"is_oa":false,"landing_page_url":"http://www.dbpia.co.kr/Article/877566","pdf_url":null,"source":{"id":"https://openalex.org/S4306496619","display_name":"\ud55c\uad6d\uc9c0\ub2a5\uc2dc\uc2a4\ud15c\ud559\ud68c \uad6d\uc81c\ud559\uc220\ub300\ud68c \ubc1c\ud45c\ub17c\ubb38\uc9d1","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\ud55c\uad6d\uc9c0\ub2a5\uc2dc\uc2a4\ud15c\ud559\ud68c \uad6d\uc81c\ud559\uc220\ub300\ud68c \ubc1c\ud45c\ub17c\ubb38\uc9d1","raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5113489448","display_name":"Kazuyoshi Miyara","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Miyara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034297446","display_name":"Thai Duy Hien","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thai Duy Hien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033659433","display_name":"Hanane H. Mirza","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanane Harrak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032340281","display_name":"Zensho Nakao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zensho Nakao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5739,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92513264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"741","last_page":"745"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":9.999999747378752e-05,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.0,"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/digital-watermarking","display_name":"digital watermarking","score":0.8050000071525574},{"id":"https://openalex.org/keywords/color-image-watermarking","display_name":"color image watermarking","score":0.8349999785423279},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.9049999713897705},{"id":"https://openalex.org/keywords/rgb-color-channels","display_name":"RGB color channels","score":0.9359999895095825},{"id":"https://openalex.org/keywords/watermark-robustness","display_name":"watermark robustness","score":0.8090000152587891},{"id":"https://openalex.org/keywords/watermarking-attacks","display_name":"watermark attacks","score":0.8920000195503235}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8243557810783386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7872539758682251},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7579454183578491},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7327449917793274},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.6897776126861572},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5766195058822632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5761784911155701},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.5289435386657715},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.510767936706543},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.49487870931625366},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3865099549293518},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3761049509048462},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3749265670776367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3487068712711334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3204106390476227}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:1601944196","doi":null,"is_oa":false,"landing_page_url":"http://www.dbpia.co.kr/Article/877566","pdf_url":null,"source":{"id":"https://openalex.org/S4306496619","display_name":"\ud55c\uad6d\uc9c0\ub2a5\uc2dc\uc2a4\ud15c\ud559\ud68c \uad6d\uc81c\ud559\uc220\ub300\ud68c \ubc1c\ud45c\ub17c\ubb38\uc9d1","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\ud55c\uad6d\uc9c0\ub2a5\uc2dc\uc2a4\ud15c\ud559\ud68c \uad6d\uc81c\ud559\uc220\ub300\ud68c \ubc1c\ud45c\ub17c\ubb38\uc9d1","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W1918191147"],"related_works":["https://openalex.org/W348386933","https://openalex.org/W1521094595","https://openalex.org/W1983615907","https://openalex.org/W2047462907","https://openalex.org/W2521177384","https://openalex.org/W2033691803","https://openalex.org/W4367321341","https://openalex.org/W2063217370","https://openalex.org/W2054986968","https://openalex.org/W2622704239"],"abstract_inverted_index":{"In":[0,36],"the":[1,16,19,27,70,79,84,87,97,100],"field":[2],"of":[3,46,63,68,78,86,99],"image":[4,13,28],"watermarking,":[5,14],"research":[6],"has":[7],"been":[8],"mainly":[9],"focused":[10],"on":[11,53],"gray":[12],"whereas":[15],"extension":[17,62],"to":[18],"color":[20,33,50,80],"case":[21],"is":[22,60,107],"usually":[23],"accomplished":[24],"by":[25,31],"marking":[26],"luminance,":[29],"or":[30],"processing":[32],"channels":[34,77],"separately.":[35],"this":[37],"paper":[38],"we":[39],"propose":[40],"a":[41],"new":[42],"digital":[43,72],"watermarking":[44],"method":[45,88,102],"three":[47,75],"bands":[48],"RGB":[49,76],"images":[51],"based":[52],"Principal":[54],"Component":[55],"Analysis(PCA).":[56],"This":[57],"research,":[58],"which":[59],"an":[61],"our":[64],"earlier":[65],"work,":[66],"consists":[67],"embedding":[69],"same":[71],"watermark":[73,91],"into":[74],"image.":[81],"We":[82],"evaluated":[83],"effectiveness":[85],"against":[89,103],"some":[90],"attacks.":[92],"Experimental":[93],"results":[94],"show":[95],"that":[96],"performance":[98],"proposed":[101],"most":[104],"prominent":[105],"attacks":[106],"good.":[108]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}