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» On Dictionary Adaptation for Recurrent Pattern Image Coding
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ICIP
2005
IEEE
14 years 7 months ago
Universal image coding using multiscale recurrent patterns and prediction
In this paper we present a new method for image coding that is able to achieve good results over a wide range of image types. This work is based on the Multidimensional Multiscale...
Eduardo A. B. da Silva, Murilo B. de Carvalho, Nun...
VLBV
2005
Springer
13 years 11 months ago
H.264/AVC Based Video Coding Using Multiscale Recurrent Patterns: First Results
The Multidimensional Multiscale Parser (MMP) algorithm has been proposed recently as a universal data coding method. MMP has proved to be a very powerful coding method for images, ...
Nuno M. M. Rodrigues, Eduardo A. B. da Silva, Muri...
ICASSP
2011
IEEE
12 years 9 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
CVPR
2011
IEEE
13 years 1 months ago
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...
ICML
2009
IEEE
14 years 6 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...