Summary
Smart Info-Media Systems in Asia
2019
Session Number:RS3
Session:
Number:RS3-5
An Estimation of Standard Deviation of Gaussian Noise Using the Image Variation Components and the Denoising Filter
Takeshi Suzuki, Hiroyuki Tsuji, Tomoaki Kimura,
pp.151-154
Publication Date:2019/9/4
Online ISSN:2188-5079
DOI:10.34385/proc.57.RS3-5
PDF download (847.5KB)
Summary:
There are methods based on PCA using iterative processing and MAD as methods to estimate the standard deviation σ of Gaussian noise in the Gaussian noise image. These methods can be estimated accurately if the Gaussian noise is large. However, in the case of low Gaussian noise with σ less than 10, its estimation accuracy is not good. In this paper, we extend the method based on denoising filter and MAD, and propose a estimation method of low Gaussian noise by using the difference. In this paper, it is clarified that the error can be reduced by 12% in the low Gaussian noise image compared with the conventional method using MAD.