Noise estimation in digital images using fuzzy processing
Marcello Salmeri, Arianna Mencattini, Elisa Ricci, A. Salsano · 2002
Noise estimation is an important issue in image processing because it is a fundamental step in many algorithms for noise suppression and then for image restoration. In the literature, many approaches have been presented in order to obtain good results. This paper presents a novel method suitable for obtaining a good estimation if the type of noise distribution is known. In particular, the algorithm provides the variance of the noise distribution and the proof that the distribution itself matches the foreseen one. The algorithm has been tested on different images affected by Gaussian noise. The simulations show results better than those obtained with other approaches.