112 search results - page 4 / 23 » On Sparsity and Overcompleteness in Image Models |
NIPS
2004
13 years 9 months ago
2004
It has been suggested that the primary goal of the sensory system is to represent input in such a way as to reduce the high degree of redundancy. Given a noisy neural representati...
TIP
2008
13 years 7 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...
ICIP
2000
IEEE
14 years 9 months ago
2000
IEEE
This paper presents a novel wavelet-based image denoising algorithm under overcomplete expansion. In order to optimize the denoising performance, we make a systematic study of bot...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Sparse signal representation based on overcomplete dictionaries has recently been extensively investigated, rendering the state-of-the-art results in signal, image and video proce...
ICASSP
2007
IEEE
14 years 2 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...