Accurate Image Noise Level Estimation through DCT Transformation and Approximation by Chi-Square Distribution

Author(s):  
Lei Yang ◽  
Yi Wan
2021 ◽  
Author(s):  
Zhicheng Wang ◽  
Zhenghua Huang ◽  
Yuhang Xu ◽  
Yaozong Zhang ◽  
Xuan Li ◽  
...  

2021 ◽  
Vol 5 (45) ◽  
pp. 713-720
Author(s):  
A.I. Novikov ◽  
A.V. Pronkin

The article presents a method for estimating the level of discrete white noise in an image, based on the use of linear difference operators with a vector mask. Two variants of a new method for estimating the noise level are proposed, which differ in the accuracy of the obtained estimates and computational complexity. The first version of the method can be attributed to the class of block methods, whereas the second one is intended for the rapid image analysis and is based on processing a small number of rows or columns of an image.


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