Improved spatially adaptive regularized image restoration
QU Hong-bo · Computer Engineering and Applications Journal · 2008
In the research on spatially adaptive regularized image restoration algorithm,it is observed that the effect of the algo-rithm is not satisfactory in the case that there is salt and pepper noise in the image.In order to solve this problem,a new visibil-ity function is presented,in which fuzzy entropy is substitute to mean square error to evaluate the spatial activity of the image,so the algorithm can accommodate the disturb of more kinds of noise,with the quality improvement of restorations.Computer simula-tion shows that the performance of the new algorithm is much better than the traditional one in the presence of salt and pepper noise and the restored result of blurred-noisy image is given in the experiment.