By enriching redundancy of the contourlet transform

it is possible to weaken pseudo-Gibbs phenomena in the process of image de-noising by thresholding. In order to remove noise from image effectively and quickly

by enriching redundancy of the contourlet transform and avoiding too much data

a method for image de-noising based on non-subsampled pyramid contourlet transform is proposed. The method decomposes noisy image using nonsubsampled LP for multi-scale

and decomposes sub-image using critical sampled DFB

then performs scale related threshold for shrinkage

finally reconstructs de-noised image. Experiments compared with other related methods show that the proposed method

on the PSNR values of the de-noised images

yields improvements up to 1dB over original contourlet transform; on the time consumption

costs half less than other improved methods.