351 search results - page 29 / 71 » The Skip-Innovation Model for Sparse Images |
ICIP
2010
IEEE
2010
IEEE
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
13 years 5 months ago
Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
A novel framework for spatially estimating unknown image data is presented. Common applications include inpainting, concealment of transmission errors, prediction in video coding,...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
IPMI
2005
Springer
14 years 8 months ago
2005
Springer
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...