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Published in 2018 at "Journal of Mathematical Imaging and Vision"
DOI: 10.1007/s10851-018-0856-3
Abstract: We propose a new variational framework to remove random-valued impulse noise from images. This framework combines, in the same energy, a nonlocal $$L^p$$Lp data term and a total variation regularization term. The nonlocal $$L^p$$Lp term…
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Keywords:
nonlocal methods;
impulse noise;
mixing nonlocal;
noise images ... See more keywords