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A secure watermark based on chaotic sequence was used for JPEG image authentication in [3].
In the literature, the techniques used for image authentication can be classified into two categories: (1) watermark based [3 6] and (2) media hash based [7, 8].
For instance, in [23] a watermark based on the host content is added and the detection is accomplished with the Neyman-Pearson criterion.
This system introduces two new concepts: (1) generating a watermark based on the receiver's location in a tree overlaying the network and (2) inserting the watermark in the content incrementally as it traverses an overlay network.
To secure the watermark, our method generates the binary watermark based on nonlinear congruential – pseudorandom number generator (NC-PRNG) and randomly selects the embeddable position in the DWT domain of the subsequence.
Similar(55)
The purpose of this paper is to improve the robustness of traditional image watermarking based on singular value decomposition (SVD) by using optimization-based quantization on multiple singular values in the wavelet domain.
To reduce the distortion of high payload watermarking scheme, a reversible watermarking based on optional prediction-error histogram modification is proposed to improve the watermarked image fidelity at high embedding rate.
It is mainly divided into three categories: (1) reversible watermarking based on data compression, (2) reversible watermarking based on difference expansion, and (3) reversible watermarking based on histogram translation.
A blind and semi-fragile watermarking based algorithm is proposed to address the referred interesting issue.
In this study, a new robust image watermarking based on discrete wavelet transform (DWT) is proposed.
An approach to speech watermarking based on the time-frequency signal analysis is proposed.
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