Local adaptive shrinkage threshold denoising using curvelet coefficients

A new local adaptive shrinkage denoising approach based on neighbourhood windows and the scale of curvelet coefficients is presented. Mean filtering and median filtering according to the local characteristic of curvelet coefficients and noise level define the threshold function. Experimental results show that the proposed method outperforms the exiting curvelet shrinkage threshold method.