112 search results - page 14 / 23 » On Sparsity and Overcompleteness in Image Models |
ISBI
2007
IEEE
14 years 2 months ago
2007
IEEE
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
CAIP
2011
Springer
12 years 7 months ago
2011
Springer
Abstract. We address the problem of jointly estimating the scene illumination, the radiometric camera calibration and the reflectance properties of an object using a set of images...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
SIAMIS
2010
13 years 2 months ago
2010
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
IPMI
2011
Springer
12 years 11 months ago
2011
Springer
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...