University of Cambridge > Talks.cam > Signal Processing and Communications Lab Seminars > A Bayesian Wavelet-Based Multidimensional Deconvolution With Sub-Band Emphasis

A Bayesian Wavelet-Based Multidimensional Deconvolution With Sub-Band Emphasis

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Taylan Cemgil.

We proposes a new algorithm for wavelet-based multidimensional image deconvolution which employs subband-dependent minimization and the dual-tree complex wavelet transform in an iterative Bayesian framework.

In addition, this algorithm employs a new prior instead of the popular $\ell_1$ norm, and is thus able to embed a learning scheme during the iteration which helps it to achieve better deconvolution results and faster convergence.

This talk is part of the Signal Processing and Communications Lab Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity