Iterative average filtering for image denoising
Adam Konieczka, Julian Balcerek, Adam Dąbrowski · Signal Processing: Algorithms, Architectures, Arrangements, and Applications · 2013
A new nonlinear iterative average filtering technique for removing random impulse noise from images is presented. It can be used for both grayscale and color images. Filtering results of the standard test images and comparisons with results of other denoising methods are presented. The authors' approach offers especially good results for strongly corrupted images (corruption pixel ratio above 40%).