A Review of Image Denoising Algorithms, with a New One

Antoni Buades, B. Coll, Jean‐Michel Morel · Multiscale Modeling & simulation · 2005

Summary

A general mathematical and experimental methodology to compare and classify classical image denoising algorithms and a nonlocal means (NL-means) algorithm addressing the preservation of structure in a digital image are defined.

Type: review
Published: 2005-01-01
Cited by: 4,634
References: 53
Access: Open access
DOI: https://doi.org/10.1137/040616024
OpenAlex: https://openalex.org/W2136396015
Semantic Scholar: https://api.semanticscholar.org/CorpusID:218466166

Keywords

Algorithm, Noise reduction, Image (mathematics), Noise (video), Computer science

References

Image denoising with unsupervised, information-theoretic, adaptive filteringSuyash P. Awate, Ross Whitaker — 2004
USING GEOMETRY AND ITERATED REFINEMENT FOR INVERSE PROBLEMS (1): TOTAL VARIATION BASED IMAGE RESTORATIONStanley Osher, Martin Burger, Donald Goldfarb — 2004
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A discrete universal denoiser and its application to binary imagesErik Ordentlich, G. Seroussi, Sergio Verdú — 2003
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Context-based surface completionAndrei Sharf, Marc Alexa, Daniel Cohen‐Or — 2004
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A Review of Image Denoising Algorithms, with a New One

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