Multiscale methods have proved to be successful tools in image denoising, edge enhancement and shape recovery. They are based on the numerical solution of a nonlinear diffusion problem where a noisy or damaged image which has to be smoothed or restorated is considered as initial data.
They are based on the numerical solution of a nonlinear diffusion problem where a noisy or damaged image which has to be smoothed or restorated is considered ...
Here our focus is on the efficient implementation of finite element schemes for the solution of the nonlinear diffusion problem. We pick up the regularized ...
Here our focus is on the efficient implementation of finite element schemes for the solution of the nonlinear diffusion problem. We pick up the regularized ...
They are based on the numerical solution of a nonlinear diffusion problem where a noisy or damaged image which has to be smoothed or restorated is considered ...
Abstract. Multiscale methods have proved to be successful tools in image de- noising, edge enhancement and shape recovery. They are based on the numerical.
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Today: GPUs superior to CPUs in computing power. But: GPUs specialized. Restricted range of values. Less accuracy. Restricted set of instructions.
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... {Nonlinear Diffusion in Graphics Hardware}, booktitle = {Eurographics/IEEE TCVG Symposium on Visualization}, year = {2001}, pages = {75--84}, abstract ...
We describe a flexible learning framework based on the concept of nonlinear reaction diffusion models for various image restoration problems. By embodying ...
Jul 5, 2014 · This study presents the application of using high performance GPU clusters in addition to CPUs for diffusion tensor estimation by accelerating the multivariate ...