117 search results - page 9 / 24 » Sparse reconstruction by separable approximation |
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
When we take a picture through transparent glass the image we obtain is often a linear superposition of two images: the image of the scene beyond the glass plus the image of the sc...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
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Voted
JVCA
2010
14 years 8 months ago
2010
This paper presents a novel optimization framework for estimating the static or dynamic surfaces with details. The proposed method uses dense depths from a structuredlight system ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Perceptual image quality assessment (IQA) and sparse signal representation have recently emerged as high-impact research topics in the field of image processing. Here we make one...