INB Lunch-Seminar

Structure adaptive smoothing methods with applications to imaging and classification

Prof. Dr. Vladimir Spokoiny
Weierstrass Institute for Applied Analysis and Stochastics (WIAS),
Berlin

Abstract:

Reconstruction of noisy images is a challenging task because the classical denoising procedures based on smoothing loose important structures like edges and segments. Structure adaptive methods aim to remove the noise while preserving such structures. We present two new structure adaptive procedures based on different ideas. The Adaptive Weights Smoothing method (AWS) is specially developed for image denoising, while Stagewise Aggregation method (SA) is effectively applied to the classification problem. The performance of the procedures is illustrated by applications to artificial and real life images and some classification examples.

Zeit: Freitag, den 20. Mai 2005, 12 Uhr c.t.

Ort: Institut für Neuro- und Bioinformatik
        Seminarraum (1. OG, Raum 17),
        Ratzeburger Allee 160 (Geb. 64, 1. OG)