In this paper an optimization procedure for the number of iterations and two scaling
parameters of the Perona-Malik filter is proposed. It is of general type having as aim …

The anisotropic diffusion filters have become in the fundamental bases to address the
medical images noise problem. The main attributes of these filters are: the noise removal …

Noise is an important factor that can reduce the image quality and its appearance.
Therefore, it must be removed while preserving the texture and the characteristics of the …

Background Denoising with edge preservation is very important in digital x-ray imaging
since it may allow us to reduce x-ray dose in human subjects without noticeable degradation …

Although anisotropic diffusion filters have been used extensively and with great success in
medical image denoising, one limitation of this iterative approach, when used on fully …

Regarding to the problems that can be encountered in the analysis step of medical images,
removing noise is an important processing for better diagnosis. This work deals with a new …

Anisotropic diffusion filtering is highly dependent on some crucial parameters, such as the
conductance function, the gradient threshold parameter and the stopping time of the iterative …

This thesis is directed to the most valuable work is the improved algorithms about classical
Perona filter, which preserve the image edges more effectively. It is also used to AOS …

Digital image processing is an exciting area of research with a variety of applications
including medical, surveillance security systems, defence, and space applications. Noise …

Noise is the major problem in the field of image processing. In Medical image such as
Ultrasound image, MRI data and Radar Images are affected by different types of noise. So it …