Noise Variance Estimation in Digital Images using Finite Differences Filter
Janusz Pawel Kowalski, Grzegorz Mikolajczak, Jakub Pęksiński · 2018
The paper presents a novel method for estimating the variance of noise in a digital image. This method is based on filtering corrupted image using finite differences filter. As a result, the original signal is removed while noise remains so its variance can be calculated. The proposed method was verified on test images corrupted by the additive Gaussian distributed noise. The method was compared with several previously published estimation methods.