2020
DOI: 10.1007/978-3-030-44907-0_2
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Medical Image Watermarking in Four Levels Decomposition of DWT Using Multiple Wavelets in IoT Emergence

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Cited by 6 publications
(3 citation statements)
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“…In the same context, Biorthogonal wavelet transforms are used to preserve the authenticity of the image in the IoT. The researchers in [98] propose a new technique that uses four levels of the DWT where each level consists of a Biorthogonal wavelet, discrete meyer wavelet, reverse biorthogonal wavelet, coiflets wavelet transform and symlet wavelet.…”
Section: Robusteness Imagementioning
confidence: 99%
“…In the same context, Biorthogonal wavelet transforms are used to preserve the authenticity of the image in the IoT. The researchers in [98] propose a new technique that uses four levels of the DWT where each level consists of a Biorthogonal wavelet, discrete meyer wavelet, reverse biorthogonal wavelet, coiflets wavelet transform and symlet wavelet.…”
Section: Robusteness Imagementioning
confidence: 99%
“…A big volume of variable, semi-or unstructured heterogeneous data are additionally available in related databases, file systems, multimedia database systems, and software applications. This includes, for example, bibliographic inputs, photos, speaking text, and video data [3][4][5].…”
Section: Meaning Of the Agent When Searching Informationmentioning
confidence: 99%
“…e integration of data sensing, communication, and computing (SCC) is a requirement for the IoT to provide a high quality of service. However, there are still security issues in SCC integration [6][7][8][9][10], such as node location leakage in data sensing, data leakage in data communication, and authentication. ese privacy and security issues have an impact on the development of IoT.…”
Section: Introductionmentioning
confidence: 99%