Image Processing and ‘Noise Removal Algorithms’—The Pdes and Their Invariance Properties & Conservation Laws
Author:
Funder
OFFICE OF RESEARCH AND SPONSORED PROGRAMS (Abu Dhabi University)
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/article/10.1007/s10440-017-0125-2/fulltext.html
Reference14 articles.
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3. Osher, S., Solé, A., Vese, L.: Image decomposition and restoration using total variation minimization and the H − 1 $H^{-1}$ -norm. Multiscale Model. Simul. 1, 349–370 (2003)
4. Vese, L.A., Osher, S.J.: Modeling textures with total variation minimization and oscillating patterns in image processing. J. Sci. Comput. 19, 553–572 (2003)
5. Shi, J., Osher, S.: A nonlinear inverse scale space method for a convex multiplicative noise model. SIAM J. Imaging Sci. 1, 294–321 (2008)
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