图像处理中应用图像降噪算法的研究综述OA

In the daily life,during the process of sending image,storing image,and taking photos to form images,improper operation often leads to unclear images that cannot reflect the essence of the image.To this end,an image denoising algorithm is used to remove impurities from the image,restoring a noise-free image.At the same time,most of the details can be retained in the image,making it clearer.In the application of denoising methods,noiseless images and prior information containing noise are usually used,but the drawback is that the two have not been effectively combined.To solve this problem,wavelet and non-local mean methods are used for denoising,and some optimizations are made in terms of Euclidean distance and weight allocation in non local mean denoising.