A Denoising Method Based on Total Variation
Dang N. H. Thanh, Dvoenko Sergey D., Dinh Viet Sang · 2015
Today large amounts of digital images are created by various modern devices such as digital cameras, X-Ray scanners, and so on. Noise reduces image quality and result of the processing. For example, biomedical images are a type of digital images. In these images, there is a combination of two types of noises: Gaussian noise and Poisson noise. In this paper, we propose a method to remove these noises. This method is based on the total variation of an image intensity (brightness) function. We combine two famous denoising models to remove this combination of noises.