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Anisotropic Multi-Scale Estimation via Directional LPA-ICI Technique
Applied Math| Speaker: | Karen Egiazarian, Institute of Signal Processing of Tampere University, Finland |
| Location: | 2112 MSB |
| Start time: | Thu, Mar 30 2006, 4:10PM |
The directional local polynomial approximation (LPA) is a technique applied for a linear and nonlinear filter design using a polynomial fit in a sliding window. The window size of this fit is one of the key-parameters interpreted as a scale of adaptation and estimation. It is a novel powerful tool for many signal/image/video processing problems: analysis, denoising, deblurring, segmentation, differentiation, edge detection, etc. In particular, in many imaging systems recorded observations have the physical meaning of numbers of detected photons. The photons are counted at different spatial locations and form an image of an object. This sort of scenario is typical for so-called photon-limited imaging including digital photo/video, positron emission tomography, astronomy, microscopy, etc. It will be shown that the new approach demonstrates the state-of-art performance and in many occasions visually and quantitatively outperform some of the best existing methods. Additional material is on the web page: www.cs.tut.fi/~lasip
Note special time for the Applied Math Seminar