Denoising Medical Images: A review of total variation minimization methods

Abstract

The total variation model is considered one of the important models in removing noise from images in general and medical images in particular, because of its importance in diagnosis and knowing the details of the image, as it is also distinguished by its ease of use and preserving the edges and details of the image, which makes it an effective model in reducing distortion significantly without damaging the basic structure of the image. However, it contains some challenges, including its inability to derive points where the contrast is zero, which makes the improvement solutions more complex., we will discuss in this review the types of medical photo, and the total variation model, as well as the advantages, the problems, and the research that was used to address the problem of the total variation in detail.