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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.
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A secure watermark based on chaotic sequence was used for JPEG image authentication in [3].
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 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.
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.
Qu et al. [6] proposed a novel embedding strategy for reversible watermarking based on compensation.
In this paper, we propose a new robust image watermarking based on EMs invariants in nonsubsampled contourlet transform (NSCT) domain.
An efficient reversible adaptive video watermarking scheme for multiple watermarks based on Bi-directional Associative Memory (BAM) Neural Networks and Fuzzy Inference System namely, Multi-BAM-FUZ scheme is proposed in this paper.
This article presents a watermarking algorithm based on one-dimensional (1-D) chaotic map in wavelet transform (WT) domain.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com