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Electron Paramagnetic Resonance (EPR) is a method for studying the chemical properties of molecules with unpaired electrons. It is the most accurate method for measuring oxygen and oxidative stress in vitro and in vivo. Its application in clinical contexts is challenging because of the lack of standardized procedures for estimating the measurement quality. Clinically-relevant quantities are extracted...
Patch-based image denoising can be interpreted under the Bayesian framework which incorporates the image formation model and a prior image distribution. In the sparsity approach, the prior is often assumed to obey an arbitrarily chosen distribution. Our motivation is to estimate the probability directly from the distribution of image patches extracted from good quality images, thanks to a given dictionary...
This paper proposes an effective exampled-based super-resolution (SR) method to improve the spatial resolution of medical image heavily corrupted by noise. Based on the sparsity of patches, the reconstruction of a high-resolution (HR) patch from each low-resolution (LR) input patch can be performed with the help of a database, by solving a non-negative sparse optimization problem. The challenge is...
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