Skip to content (access key 's')
Logo of Technion
Logo of CS Department
Logo of CS4People

The Taub Faculty of Computer Science Events and Talks

Pixel Club: Sparse Continuous Wavelet Transforms via a Wavelet-Plancherel Theory
event speaker icon
Ron Levie (Tel-Aviv University)
event date icon
Tuesday, 02.01.2018, 11:30
event location icon
Taub 401
It is well known that certain classes of signals can be effectively represented using a wavelet basis or a wavelet frame, keeping only a sparse number of coefficients. For example, Shearlet (discrete) frames are optimally sparse for cartoon like images. In this talk I will extend this approach to continuous wavelet systems, which comprise a continuum of "dictionary" elements. To overcome some of the challenges in the continuous realm, I will present an extension of the standard continuous wavelet theory, called the wavelet-Plancherel theory. Basing our sparse decomposition algorithm on the new theory, we can outperform naive sparse decomposition algorithms.