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Denoising algorithms based on gradient dependent regularizers, such as nonlinear-diffusion processes and total variation denoising, modify images towards piecewise constant functions. Although edge s...
This paper is concerned with finding the best partial differential equation-based denoising process, out of a set of possible ones. We focus on either finding the proper weight of the fidelity term in...
The linear and nonlinear scale spaces, generated by the inherently real-valued diffusion equation, are generalized to complex diffusion processes, by incorporating the free Schro¨dinger equation. A fu...
The linear and nonlinear scale spaces, generated by the inherently real-valued diffusion equation, are generalized to complex diffusion processes, by incorporating the free Schro¨dinger equation. A fu...
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances,sharpens,and denoises images.The nonlinear diffusion coefficient is locally a...
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances,sharpens,and denoises images.The nonlinear diffusion coefficient is locally a...
We propose a denoising algorithm for medical images based on a combination of the total variation minimization scheme and the wavelet scheme. We show that our scheme offers effective noise removal i...
A critical issue in image restoration is the problem of noise removal while keeping the integrity of relevant image information. The method proposed in this paper is a fully automatic 3D blockwise ver...
Introduction: In this study the evaluation of a Platelet-based Maximum Penalized Likelihood Estimation (MPLE) for denoising SPECT images was performed and compared with other denoising methods such as...

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