Gaussian filtering has been one of the most successful image filters in history. However, its faults as highlighted in the post on anisotropic diffusion has propelled the development of new methods that filter piecewise constant regions without dislocating or blurring the the edges. Anisotropic diffusion is one of such method. Anisotropic diffusion however, is an iterative process thus can be computationally intensive. A method that overcomes the computationally demands of Anisotropic diffusion is the Bilateral filter. To understand...

As it is well known, deviations occur in the implementation of algorithms especially, if the algorithm was defined with reference to the continuous domain. The same is applicable in the implementation of the already defined principle for anisotropic diffusion. We would be implementing here, in python, a discrete model of anisotropic diffusion to deal with Digital Images which are ofcourse discrete. First of all, we import the necessary libraries that we would use throughout the course of the...

Images provide insight into the world, our lives, places, things e.t.c Human beings have the implicit ability to understand and make sense of an image both semantically and syntactically. Thus we are able (assuming I am human), to make visual conclusions easily, from visual information presented in images. This is not the same for Artificial Intelligence as the ease eludes it. Image processing is a science that facilitates the world with algorithms that can extract information embedded in...