基于小波变换的图像去噪，从含噪图像可以看出噪声含量非常强，而从去噪的结果可以看出，通过小波去噪后的图像基本和原图像一致。第一次消噪滤去了大部分高频噪声，但与原图比较，依然有不少高频噪声，第二次消噪在第一次消噪基础上，再次滤去高频噪声，消噪效果较好，但图像质量比原图稍差。(Image denoising based on wavelet transform shows that the noise content is very strong from noisy images, and from the denoising results, we can see that the image after denoising by wavelet is basically the same as the original image. The first time noise elimination filtered most of the high frequency noise, but compared with the original image, there were still many high frequency noises. The second time de noising was based on the first de noising, and the high frequency noise was filtered again, which had better denoising effect, but the image quality was slightly worse than the original one.)