A New Nonlinear Filtering Technique for Image Denoising

In this paper, a new nonlinear filtering technique is introduced for denoising of images that are highly contaminated by impulse noise. The proposed filtering technique is more effective in eliminating impulse noise and preserving the image features. The filter replaces a corrupted pixel by the median value or by its processed neighboring pixel value. The uncorrupted pixels are left undisturbed. Simulation studies show that the proposed filter can eliminate impulse noise of densities up to 70% while preserving the edges and fine details satisfactorily. The performance of the filter is evaluated by applying it on different test images and the results obtained are presented.