@Article{cmes.2020.07987,
AUTHOR = {Ling Ding, Huyin Zhang, Jinsheng Xiao, Junfeng Lei, Fang Xu, Shejie Lu},
TITLE = {Mixed Noise Parameter Estimation Based on Variance Stable Transform},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {122},
YEAR = {2020},
NUMBER = {2},
PAGES = {675--690},
URL = {http://www.techscience.com/CMES/v122n2/38319},
ISSN = {1526-1506},
ABSTRACT = {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.},
DOI = {10.32604/cmes.2020.07987}
}