We consider image denoising as the problem of removing spurious oscillations due to noise while preserving edges in the images. We will suggest here how to directly make infinitesimal adjustment to standard variational methods of image denoising, to enhance desirable target assumption of the noiseless image. The standard regularization method is used to define a suitable energy functional to penalize the data fidelity and the smoothness of the solution. This energy functional is tailored so that the region with small gradient is isotropically smoothed whereas in a neighborhood of an edge presented by a large gradient smoothing is allowed only along the edge contour. The regularized solution that arises in this fashion is then the solution of a variational principle. © 2009, Institute of Mathematics, NAS of Belarus. All rights reserved.
CITATION STYLE
Santitissadeekorn, N., & Bollt, E. M. (2009). Image Edge Respecting Denoising with Edge Denoising by a Designer Nonisotropic Structure Tensor Method. Computational Methods in Applied Mathematics, 9(3), 309–318. https://doi.org/10.2478/cmam-2009-0019
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