Exact(1)
attacks with uniform noise are very effective for given distortion compared to other attacks, attacks with Gaussian noise are considerably less effective than Uniform noise, and inferior to several other attacks studied, for few pirates the distortion/error rate trade-off is much steeper for MMX-1 than for the noise attack, and it outperforms it at high distortion (150 200).
Similar(59)
We will show that with these two sparse sampling algorithms, the data rate is much less than that without sparse sampling for a given distortion.
We remark that compared to DISCOVER or Motion JPEG, the proposed codec offers a significant reduction of the encoding rate for a given distortion level.
Classical information theory [30] asserts that the rate expressed in bits per sample for a given distortion level, in the case of a Gaussian source is given by (5).
Then, for a given distortion budget, the proportional embedding does not spread the watermark energy all over the image because most wavelet coefficients are small, but it focuses the watermark energy on the very few strong wavelet coefficients.
The expectation in (12) is with respect to the probability distribution on X L. The rate distortion function R(D) is the minimum of data rates R such that (R,D) is in the rate distortion region for a given distortion.
The rate R(D) at a given distortion for both sparse sampling algorithms is less than that without sparse sampling.
For example, one such metric is the so-called energy-distortion tradeoff which determines how much energy the sensor network consumes in extracting and delivering relevant information up to a given distortion level.
Assuming fixed channel gains (no fading), and, we consider the following cases:,,,, and. Figure 6 shows that for given the distortion decreases with increase in the so-called channel SNR and vice versa.
It is a deformation parameter as it determines the extent of material distortion for given imposed stress conditions.
For low redundancy, this new design provides results that are close to optimum (in the sense of minimizing the side distortions for a given central distortion), while maintaining the robustness to transmission errors and being amenable to designing systems with large redundancy or high bit rates.
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