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» Reconstructing images from their most singular fractal manif...
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2002
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13 years 4 months ago
Reconstructing images from their most singular fractal manifold
Real world images are complex objects, difficult to describe but at the same time possessing a high degree of redundancy. A very recent study [1] on the statistical properties of n...
Antonio Turiel, Angela del Pozo
ICPR
2002
IEEE
14 years 5 months ago
Entropy Estimation and Multiscale Processing in Meteorological Satellite Images
A new model for the multiscale characterization of turbulence and chaotic information in digital images is presented. The model is applied to infrared satellite images for the det...
Antonio Turiel, Hussein M. Yahia, Jacopo Grazzini
ICIP
2005
IEEE
14 years 6 months ago
Presegmentation of high-resolution satellite images with a multifractal reconstruction scheme based on an entropy criterium
The last generation of satellites leads to the very high-resolution images which offer a high quality of detailed information about the Earth's surface. However, the exploita...
Antonio Turiel, Hussein M. Yahia, Jacopo Grazzini
ICPR
2010
IEEE
13 years 2 months ago
Data Classification on Multiple Manifolds
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside ...
Rui Xiao, Qijun Zhao, David Zhang, Pengfei Shi
CVPR
2012
IEEE
11 years 7 months ago
Geometry constrained sparse coding for single image super-resolution
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yua...