A robust regularised restoration algorithm based on Topkis-Veinott optimisation method

We present a robust iterative algorithm for restoration of blurred and noisy images. The restoration model is first regularised and then solved iteratively. An optimal regularisation parameter is estimated using the Topkis-Veinott gradient method. This restoration algorithm is compared with other competitive restoration algorithms in the literature. Experimental results are presented to demonstrate the comparative important features of our algorithm, namely, robustness in the presence of noise and high quality restoration results.