关键词: 高斯噪声, 椒盐噪声, 中值滤波, Bayes Shrink

Abstract:

An image denoising method based on wavelet transform is proposed to solve gaussian noise, salt and pepper noise and mixed noise in the image. Experiments with different denoising sequences by using the combination of BayesShrink and median filtering methods are performed to improve the quality of image denoising. Experimental results show that BayesShrink followed by median filtering offers better denoising results than other methods. The method has the actual application value in image denoising processing.

Key words: gaussian noise, salt and pepper noise, median filtering, BayesShrink