This approach exploits given symmetries and provides numerical robustness via integration.
The main objective behind the proposed technique is to perform the watermarking of the medical images in such a way that the three main attributes of the hidden information (i.e., imperceptibility, robustness, and integration rate) can be jointly ameliorated as much as possible.
This complete decoupling of the two variables in a vorticity-in-time/velocity-in-space split algorithm reduces the number of unknowns to solve in the time-integration process and also favors the use of advanced ODE algorithms enhancing the efficiency and robustness of time integration.
All solvers showed similar robustness, and no integration failures were observed when using ILUT-preconditioned Krylov enabled integrators.
To assess the robustness of Bayes integration, we carried out 5-fold and 10-fold cross-validation (5CV and 10CV) test for Bayes integration.
Besides, the discussion and analysis has suggested that the developed RRPS has the distinguishing characteristics of agility, integration, robustness, and leanness.
In particular, we report on the high carrier mobility value in suspended and annealed samples for electronic devices, on the thickness-dependent optical transparency and, in the mechanical section, on the high robustness and full integration of graphene in sensing device applications.
The principal problem in the watermarking domain is the compromise between imperceptibility, robustness, and the integration rate.
The robustness of the integration scheme has been tested by halving, doubling, and quadrupling the nominal domain resolution.
The main contribution of this paper consists in improving the three principal factors existing in all watermarking systems (robustness, imperceptibility, and integration rate).
