Iterative Algorithm Based on the Decouple of

Deblurring and Denoising for Image Restoration


Dr. You-Wei WEN

South China Agricultural University & IMR Junior Fellow, HKU





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.




December 13, 2007 (Thursday)


4:00 – 5:00pm


Room 517, Meng Wah Complex, HKU




All are welcome