Mixed Noise Parameter Estimation Based on Variance Stable Transform

The ultimate goal of image denoising from video is to improve the given image, which can reduce noise interference to ensure image quality. Through denoising technology, image quality can have effectively optimized, signal-to-noise ratio can have increased, and the original mage information can have better reflected. As an important preprocessing method, people have made extensive research on image denoising algorithm. Video denoising needs to take into account the various level of noise. Therefore, the estimation of noise parameters is particularly important. This paper presents a noise estimation method based on variance stability transformation, which estimates the parameters of variance stability transformation by minimizing the noise distribution peak, and improves the parameter accuracy of mixed peak estimation by comparing and analyzing the changes of parameters. The experimental results show that the new algorithm of noise estimation has achieved good effects, which are making the field of video denoising more extensive.