Structure of noise
As introduced in the previous section, a noise is a random vector where each element is independently chosen from a normal distribution. This atomic watermark is constructed as a rectangular image of periodic patterns as follows:
let fix some values for the width and the height of the rectangle, and
let be independent and identically distributed normal random variables:
for some and , then take be respectively some samples of .
The complex atomic signal is defined by:
for some amplitude . We observe that then are actually the horizontal and the vertical periods.
Remark: and are elements of a set of independent and identically distributed normal random variables . The parameters and are chosen by analyzing the input scene that is discussed in~\cref{subsec:noise_spreading}.
Proposition 1. (Fourier transform of complex atomic signals)
The length of the noise vector is one of the principal factors which decides the robustness of noise: the higher the value , the lower the false positive of noise verification. But this size influences the quality of the rendered image: the lower value , the higher fidelity of the rendered images. Consequently, the value is a trade-off between the robustness of the embedded noise and the fidelity of the rendered image, it is empirically chosen to be about 8 to 15.
Figure 4:
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