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提出了一种基于正交小波变换的图像去噪方法,首先利用离散小波对图像信号按Mallat算法进行分解,然后采用软阈值与小波重构的算法进行去噪。深入研究了小波变换中的图像分解与重构的Mallat算法,详细介绍了正交小波变换中阈值的选取,并进行了实验研究。实验结果表明,该方法可以有效去除噪声,并保留了图像细节部分的有用信息。
An image denoising method based on Orthogonal Wavelet Transform (DWT) is proposed. Firstly, the image signal is decomposed by Mallat algorithm using discrete wavelet and then denoised by soft thresholding and wavelet reconstruction algorithm. The Mallat algorithm of image decomposition and reconstruction in wavelet transform is deeply researched. The threshold selection in orthogonal wavelet transform is introduced in detail, and the experimental research is carried out. The experimental results show that this method can effectively remove the noise and preserve the useful information of the detail part of the image.