112 search results - page 5 / 23 » On Sparsity and Overcompleteness in Image Models |
ECCV
2010
Springer
14 years 2 days 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...
TIP
2010
13 years 2 months ago
2010
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
A sparse representation based method is proposed for text detection from scene images. We start with edge information extracted using Canny operator and then group these edge poin...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
Parallel magnetic resonance imaging (pMRI) using multiple receiver coils has emerged as a powerful 3D imaging technique for reducing scanning time or increasing image resolution. ...