基于小波分析的图像去噪处理

The Image Denoising based on Wavelet Analysis

近年来,小波理论得到了非常迅速的发展,而且由于其具备良好的时频特性,实际应用也非常广泛。这里希望利用小波的自身特性,在降低噪声影响的同时,尽量保持图像本身的有用细节和边缘信息,从而保证图像的最佳效果。其中图像的小波阈值去噪方法可以说是众多图像去噪方法的佼佼者。

In recent years, wavelet theory has been very rapid development, but also because of its good time-frequency characteristics of a wide range of practical applications. Here wish to take advantage of the self-wavelet features, in the reduction of noise at the same time, to keep the details of the image itself and the edge of useful information, thus ensuring the best image. One of image wavelet thresholding denoising method can be said that many image denoising methods are the best.