Secondly, our method enables decoupling between deblurring and denoising, so any well-established noise reduction operator can be selected in our model, independent of the VanCittert deblurring operation.
Our approach enables decoupling between deblurring and denoising during the restoration process, so allows any well-established noise reduction operator to be implemented in our model, independent of the VanCittert deblurring operation.
A key tool is reduction operator.
The reduction operator also gives rise to an equivalent statement of the Invariant Subspace Problem.
This makes it possible to control the noise amplification over a finite number of iterations by a noise reduction operator satisfying (6).
To tackle the above problem, we first introduce a noise reduction operator, Ψ, which minimizes the estimation error of a cost function.
No intersection is used and the influence of the reduction operator limiting to a tunable maximum the size of the matrices involved in the zonotopic set computations is fully taken into account in the LMI-based robust stability analysis.
Following their basic approach, but making different choices of finite element spaces, [8] develops and analyzes other families of locking-free finite elements, which can eliminate the need for the introduction of a reduction operator.
Different from the well-established regularization methods, which introduce a penalty to solve the ill-posed problem, we directly apply VanCittert algorithm to minimize residual along gradient for structure restoration and to suppress noise through a noise reduction operator.
In this problem, selection operator, elitism, crossover operator, mutation operator, and recent reduction operator are determined in such a form that the algorithm reaches a proper result; for example, in a crossover operator (Figure 2), the crossover is done in the form of a single point with the probability of 0.8.
