25 search results - page 1 / 5 » Image Restoration By Mixture Modelling Of An Overcomplete Li... |
ICIP
2009
IEEE
14 years 5 months ago
2009
IEEE
We present a new image restoration method based on modelling the coefficients of an overcomplete wavelet response to natural images with a mixture of two Gaussian distributions, h...
TIP
2008
13 years 4 months ago
2008
In recent years Bayes Least Squares - Gaussian scale mixtures (BLS-GSM) has emerged as one of the most powerful methods for image restoration. Its strength relies on providing a si...
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Iterative shrinkage of sparse and redundant representations are at the heart of many state of the art denoising and deconvolution algorithms. They assume the signal is well approx...
ICASSP
2007
IEEE
13 years 10 months ago
2007
IEEE
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...