Restoration Medical Images from Speckle Noise Using Multifilters

In digital image processing and precisely in the medical field, most of the medical images are usually corrupted by different types of noises which give importance to achieve high-quality images to facilitate the observation operations for the given medical applications. The techniques of de-noising have become a basic practice in the applications of medical imaging to study of processing and biological structure of the medical images, which cause to be the processes of restoring the medical images that have a wide challenge in the scope of medical image processing. Therefore, to overcome these challenges, many restore algorithms have been developed like, Gaussian, median, and Weiner filters. These filters are used for the most generally affected noises in the medical images such as Gaussian, Speckle, Salt and Pepper, and Poisson noises, etc. This paper focuses on a process of adding noise using the speckle noise of the medical image and removes this noise by using three types of filters as a mean, median, and Weiner filters, these filters applied in different stages on the different medical image.