Iterative
Algorithm Based on the Decouple of
Deblurring
and Denoising for Image Restoration
Dr.
You-Wei WEN
In this
talk, we propose iterative algorithms for solving image restoration problems.
The iterative algorithms are based on the decouple of deblurring and denoising
steps in the restoration process. In the deblurring step, an efficient
deblurring method based on fast transforms can be employed. In the denoising
step, efficient methods like wavelet shrinkage denoising method or total
variation denoising method can be used. The main advantage of this proposal is
that the resulting algorithms can be very efficient, and can produce better restored
images in visual quality and signal-to-noise ratio than those by the
restoration methods using the combination of a data-fitting term and a
regularization term together. The convergence of the proposed algorithms is
shown in the paper. Numerical examples are also given to demonstrate the
effectiveness of these algorithms.
Date: |
December 13, 2007 (Thursday) |
Time: |
4:00 – 5:00pm |
Place: |
Room 517, Meng Wah Complex, HKU |
|
All are welcome |
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