2016
DOI: 10.5120/ijca2016909644
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Digital Color Image Watermarking using DWT and SVD for Data Security

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Cited by 3 publications
(2 citation statements)
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“…The Internet of Things refers to the use of sensing devices such as radio frequency identification systems or infrared induction systems to give objects intelligence according to a certain protocol and connect objects to the Internet through ports, thereby forming a distributed network of interconnected objects and realizing intelligent object identification, tracking, monitoring, and management technology [ 6 , 7 ]. It connects the object to the network through the information detection device according to the protocol, communicates through the media, and realizes the functions of intelligent identification, configuration, monitoring, and monitoring [ 8 ].…”
Section: Research and Design Methods Of Image Data Security Mechanimentioning
confidence: 99%
“…The Internet of Things refers to the use of sensing devices such as radio frequency identification systems or infrared induction systems to give objects intelligence according to a certain protocol and connect objects to the Internet through ports, thereby forming a distributed network of interconnected objects and realizing intelligent object identification, tracking, monitoring, and management technology [ 6 , 7 ]. It connects the object to the network through the information detection device according to the protocol, communicates through the media, and realizes the functions of intelligent identification, configuration, monitoring, and monitoring [ 8 ].…”
Section: Research and Design Methods Of Image Data Security Mechanimentioning
confidence: 99%
“…The embedding of zero watermarking was realized through the exclusive or (XOR) operation between the singular value of each block and the pixel value of the actual binary character watermark. [10] proposed a DWT and SVD-based scheme for digital watermarking. [11] proposed a blind scheme based on DWT, SVD and support vector regression.…”
Section: Introductionmentioning
confidence: 99%