An advanced and adaptive mathematical function for an efficient anisotropic image filtering

Image de-noising and enhancement are becoming increasingly widespread. Anisotropic diffusion is one of the greatest techniques that are used to remove noise of the image, while keeping the important information unvaried. Nevertheless, it suffers from many drawbacks such as the image blurring. This work is concerned with a new anisotropic diffusion approach founded on an innovative mathematical function for noise reducing and edge preserving. The entire contribution can be observed from the experimental results which have shown that the new proposed anisotropic scheme is not only able to remove the noise efficiently but also to preserve the content in the denoised image.