In order to employ Bayesian nonlocal means filter (BNLMF) model in the circumstance of speckle noise to realize image restoration, we deduce the key probability density function with the help of speckle noise statistical characteristic and then present an iterative filtering algorithm. The first ...
The strain filter is also needed to smooth calculated strains. Table 1 lists the VIC-3D parameters used in this work. Table 1. Parameters used in VIC-3D analysis. GeometrySubsetStepStrain filter Simple 43 7 15 Complex 43 7 27 3.3. Experiments 3.3.1. Determination of the linearly ...
Increasing the acceptance rate by a local adaptation (DR). Increasing MCMC chain accuracy by a global adaptation (AM). 2.4MCMC with Ensemble-Kalman Filter (EnKF-MCMC) As previously mentioned, a good detection of the proposal density will enhance the Markov chain movement to the target density. ...
In this paper, we have tried to simplify the way nonlocal means filtering should be used to improve the quality of intravascular ultrasound (IVUS) images. To this end, the algorithm proposed in this research calculates the optimal values of the parameters of this filter before filtration ...
This compulsion takes to the introduction of a new de-speckling model via an adaptive hybrid filter model that includes four filters like guided filter (GF), speckle-reducing bilateral filter (SRBF), rotation invariant bilateral nonlocal means filter (RIBNLM), and median filter (MF) respectively...
This paper alters the NLM algorithm to filter Poisson noise by changing the distance metric with a geodesic one that is more representative of this type of noise, adopting a general, and computationally efficient Bayesian approach. We evaluate the proposed method in the context of low-dose ...
3.2. Sequential Gauss-Markov-Kalman Filter The process of updating can be done several times on the whole time interval. Once a high non-linear system is divided to very small time steps, the problem turns to plenty of continuous linear systems so that the GMKF approach can update the model...
Third, abundance maps are generated by first being divided into 14×1414×14 sized homogeneous blocks of one of the four tEMs, then degrading the blocks by applying a spatial low-pass filter of 11×1111×11. And Figure 1i–l shows four simulated abundance maps with the size of 102×...
Third, abundance maps are generated by first being divided into 14×1414×14 sized homogeneous blocks of one of the four tEMs, then degrading the blocks by applying a spatial low-pass filter of 11×1111×11. And Figure 1i–l shows four simulated abundance maps with the size of 102×...