Noise Reduction Based on Wavelet Transform under Non-stationary Environments
非平稳环境下基于小波变换的图像去噪

This paper addresses the problem of noise reduction under non-stationary environments based on the wavelet transform.This algorithm can overcome the deficiency of the conventional algorithms of noise suppression,which were only efficient for stationary environments and had large level of residual noise.The algorithm addressed in this paper is based on the different amplitude value change of image and noise and their distributing character in the wavelet domain,by this way,we can find the site and the value of the noise in the wavelet domain by making use of the iterativeness algorithm.Further,noise suppression of the image is implemented.Experiments confirm that the PSNR after denoising with the proposed algorithm is larger than the conventional algorithm;moreover,the high-frequency information of the image contains much information after the noise suppression.At the same time,the noise reduction by proposed algorithm is effective to reduce the noise under both stationary and non-stationary environments.