Load balanced heterogeneous parallelism for finite difference problems on image denoising
نویسندگان
چکیده
منابع مشابه
Finite difference heterogeneous multi-scale method for homogenization problems
In this paper, we propose a numerical method, the finite difference heterogeneous multi-scale method (FD-HMM), for solving multi-scale parabolic problems. Based on the framework introduced in [Commun. Math. Sci. 1 (1) 87], the numerical method relies on the use of two different schemes for the original equation, at different grid level which allows to give numerical results at a much lower cost...
متن کاملRelaxation Methods for Image Denoising Based on Difference Schemes
In this paper, we propose some relaxation methods that can be used to design very fast iteration schemes for image denoising based on the total variation model. By using certain techniques from convex optimization, we establish the convergence of the iteration schemes based on these relaxation methods. Furthermore, we provide some empirical formulas for the parameters needed in the denoising mo...
متن کاملA New Shearlet Framework for Image Denoising
Traditional noise removal methods like Non-Local Means create spurious boundaries inside regular zones. Visushrink removes too many coefficients and yields recovered images that are overly smoothed. In Bayesshrink method, sharp features are preserved. However, PSNR (Peak Signal-to-Noise Ratio) is considerably low. BLS-GSM generates some discontinuous information during the course of denoising a...
متن کاملFinite Difference Methods with intrinsic parallelism For parabolic Equations
Based on eight saul’yev asymmetry schemes and the concept of domain decomposition, a class of finite difference method (AGE) with intrinsic parallelism for 1D diffusion equations is constructed. Stability analysis for the method is done. We also pay attention to the implementation of the parallel algorithms for 2D convectiondiffusion equations. Based on another group of saul’yev asymmetry schem...
متن کاملA Well-Balanced, Conservative Finite-Difference Algorithm for Atmospheric Flows
The numerical simulation of meso-, convective, and micro-scale atmospheric flows requires the solution of the Euler or the Navier-Stokes equations. Nonhydrostatic weather prediction algorithms often solve the equations in terms of derived quantities such as Exner pressure and potential temperature (and are thus not conservative) and/or as perturbations to the hydrostatically balanced equilibriu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational and Mathematical Methods
سال: 2020
ISSN: 2577-7408,2577-7408
DOI: 10.1002/cmm4.1089