基于小波变换的图像阈值去噪算法研究

Study on image threshold denoising algorithm based on wavelet transformation

介绍了小波阈值去噪的原理,分析传统的软硬阈值函数的不足,对阈值函数的选取和阈值的估计进行了改进,提出了一种新的小波阈值去噪方法。实验结果表明,本算法明显提高了图像的峰值信噪比,即能较好的抑制噪声,又能很好的保留图像的特征和边缘信息。

In this paper, first introduced the principle of wavelet threshold denoising and analyzed the deficiencies that traditional soft and hard threshold functions, a new wavelet threshold denoising meth- improving which threshold functional selecting ment results show that this algorithm can improve peak signal to noise and threshold estimated. Experi- ratio（PSNR） of the image, both effectively restrain the noise and reserve which characteristic and marginal information of the image.