p-norm (0 <; p <; 1) regularization. Our theoretical results show that any local minimizer of this imaging restoration problem is composed of constant regions surrounded by closed contours and edges. Numerical examples are presented to validate the theoretical results, and show that the proposed model can recover image restoration results very well.">

Non-Lipschitz $\ell_{p}$-Regularization and Box Constrained Model for Image Restoration (original) (raw)

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