An Implementation and Detailed Analysis of the K-SVD Image Denoising Algorithm
Marc Lebrun, Arthur Leclaire
→ BibTeX
@article{ipol.2012.llm-ksvd,
    title   = {{An Implementation and Detailed Analysis of the K-SVD Image Denoising Algorithm}},
    author  = {Lebrun, Marc and Leclaire, Arthur},
    journal = {{Image Processing On Line}},
    volume  = {2},
    pages   = {96--133},
    year    = {2012},
    doi     = {10.5201/ipol.2012.llm-ksvd},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2012.llm-ksvd}}
published
2012-05-19
reference
Marc Lebrun, and Arthur Leclaire, An Implementation and Detailed Analysis of the K-SVD Image Denoising Algorithm, Image Processing On Line, 2 (2012), pp. 96–133. https://doi.org/10.5201/ipol.2012.llm-ksvd

Communicated by Jean-Michel Morel
Demo edited by Miguel Colom

Abstract

K-SVD is a signal representation method which, from a set of signals, can derive a dictionary able to approximate each signal with a sparse combination of the atoms. This paper focuses on the K-SVD-based image denoising algorithm. The implementation is described in detail and its parameters are analyzed and varied to come up with a reliable implementation.

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