Ling Ding1, 2, Huyin Zhang1, *, Jinsheng Xiao3, Junfeng Lei3, Fang Xu3, Shejie Lu2
CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 675-690, 2020, DOI:10.32604/cmes.2020.07987
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… More >
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