Generalized nonlocal mean denoising research based on the wavelet domain
Yafeng Li · Journal of Xidian University · 2010
The statistics of image wavelet coefficients is non-Gaussian and can be described by generalized Gaussian distribution(GGD).The paper investigates the issues of the GGD statistical model for wavelet coefficients in a subband and the corresponding parameter estimation.The estimated parameters are used to define a generalized nonlocal mean which allows us to restore the original image.A nonlocal mean denoising algorithm in the wavelet domain based on the GGD statistical model is proposed.Simulation results indicate that the proposed method outperforms the others by 1.5～3.3 dB in the PSNR,and keeps a better visual result in edges information reservation as well.