Biomedical Imaging GroupSTI
English only   BIG > Publications > Blind Denoising

 Home Page
 News & Events
 Tutorials and Reviews
 Download Algorithms

 All BibTeX References

Blind Optimization of Algorithm Parameters for Signal Denoising by Monte-Carlo SURE

S. Ramani, T. Blu, M. Unser

Proceedings of the Thirty-Third IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'08), Las Vegas NV, USA, March 30-April 4, 2008, pp. 905-908.

We consider the problem of optimizing the parameters of an arbitrary denoising algorithm by minimizing Stein's Unbiased Risk Estimate (SURE) which provides a means of assessing the true mean-squared-error (MSE) purely from the measured data assuming that it is corrupted by Gaussian noise. To accomplish this, we propose a novel Monte-Carlo technique based on a black-box approach which enables the user to compute SURE for an arbitrary denoising algorithm with some specific parameter setting. Our method only requires the response of the denoising algorithm to additional input noise and does not ask for any information about the functional form of the corresponding denoising operator. This, therefore, permits SURE-based optimization of a wide variety of denoising algorithms (global-iterative, pointwise, etc). We present experimental results to justify our claims.

AUTHOR="Ramani, S. and Blu, T. and Unser, M.",
TITLE="Blind Optimization of Algorithm Parameters for Signal Denoising
        by {M}onte-{C}arlo {SURE}",
BOOKTITLE="Proceedings of the Thirty-Third {IEEE} International
        Conference on Acoustics, Speech, and Signal Processing
address="Las Vegas NV, USA",
month="March 30-April 4,",

© 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.