Skip to Main content Skip to Navigation
Conference papers

Towards dictionary learning from images with non Gaussian noise

Pierre Chainais 1, 2, *
* Corresponding author
1 SEQUEL - Sequential Learning
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
Abstract : We address the problem of image dictionary learning from noisy images with non Gaussian noise. This problem is difficult. As a first step, we consider the extreme sparse code given by vector quantization, i.e. each pixel is finally associated to 1 single atom. For Gaussian noise, the natural solution is K-means clustering using the sum of the squares of differences between gray levels as the dissimilarity measure between patches. For non Gaussian noises (Poisson, Gamma,...), a new measure of dissimilarity between noisy patches is necessary. We study the use of the generalized likelihood ratios (GLR) recently introduced by Deledalle et al. 2012 to compare non Gaussian noisy patches. We propose a K-medoids algorithm generalizing the usual Linde-Buzo-Gray K-means using the GLR based dissimilarity measure. We obtain a vector quantization which provides a dictionary that can be very large and redundant. We illustrate our approach by dictionaries learnt from images featuring non Gaussian noise, and present preliminary denoising results.
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download
Contributor : Pierre Chainais Connect in order to contact the contributor
Submitted on : Tuesday, November 6, 2012 - 3:07:10 PM
Last modification on : Tuesday, November 24, 2020 - 2:18:24 PM
Long-term archiving on: : Thursday, February 7, 2013 - 3:46:16 AM


Files produced by the author(s)


  • HAL Id : hal-00749035, version 1




Pierre Chainais. Towards dictionary learning from images with non Gaussian noise. IEEE Int. Workshop on Machine Learning for Signal Processing, Sep 2012, Santander, Spain. ⟨hal-00749035⟩



Record views


Files downloads