Adaptive Noise Variance Estimation in BayesShrink
SayedMasoud Hashemi, Soosan Beheshti · IEEE Signal Processing Letters · 2009
A method of noise variance estimation in BayesShrink image denoising is presented. The proposed approach competes with the well known MAD-based method and outperforms this method in more than 99% of our experimental results. The approach, called Residual Autocorrelation Power (RAP), provides a more accurate noise variance estimate and results in a smaller MSE.