Wu, J., Xie, S., Li, Z., & Wu, S. (2022). Image noise level estimation via kurtosis test. Journal of Electronic Imaging, 31(03). https://doi.org/10.1117/1.jei.31.3.033015
Abstract:
Noise level estimation is a long-standing problem in image processing. The challenge arises from the fact that the estimation can be easily affected by texture information. In this paper, a new noise level estimation method via kurtosis test is proposed, which is a normalized fourth-order moment. The proposed method consists of two stages: the first one is to determine the image patches with normality by using the kurtosis test, the noise level is then estimated from these selected normal patches in the second stage, where the average of the standard deviations is used as the final estimation. Experimental results show that the proposed method outperforms the state-of-the-art estimation techniques in terms of noise level estimation and guided denoising.
License type:
Publisher Copyright
Funding Info:
This work was supported in part by the National Natural Science Foundation of China under grants 61775172 and 61371190.
Description:
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