An Implementation and Detailed Analysis of the K-SVD Image Denoising Algorithm
Marc Lebrun, Arthur Leclaire
Image Processing On Line · 2012
doi:10.5201/ipol.2012.llm-ksvd (opens in a new tab)
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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.
Abstract licence: CC BY-NC-SA
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