基于小波影响锥分析的图像去噪方法

Image Denoising Based on Wavelet Cone of Influence Analyzing

采用非抽取小波变换(UDWT),在小波影响锥(COI)分析的基础上,提出一种新的图像去噪方法,能够有效地去除脉冲噪声同时保护图像的边缘。该方法与传统小波阈值去噪法结合,可以很好地抑制高斯噪声和泊松噪声,甚至混合形式的噪声。实验结果证实了该方法的有效性。

A new image denoising algorithm based on wavelet cone of influence（COD analyzing is proposed, which can effectively remore the impulse noise and preserve the image edges by undecimated discrete wavelet transform（UDWT）. Further more, combined with the traditiona wavelet thresholding denoising method, the proposed algorithm can well decrease more widely type of the noise such as Gaussian noise,poisson noise and even mixed noise. Experimen results illustrate the advantages of this approach.