Non-Gaussian Noise Removal via Gaussian Denoisers with the Gray Level Indicator-Reference-Cited by-同舟云学术

Non-Gaussian Noise Removal via Gaussian Denoisers with the Gray Level Indicator

Published:2023-05-02 Issue:6 Volume:65 Page:844-860
ISSN:0924-9907
Container-title:Journal of Mathematical Imaging and Vision
language:en
Short-container-title:J Math Imaging Vis

Author:

Shi Kehan,Guo Zhichang

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modeling and Simulation,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s10851-023-01148-9.pdf

Reference67 articles.

1. Aubert, G., Kornprobst, P.: Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations, vol. 147. Springer, New York (2006)

2. Chan, T.F., Shen, J.J.: Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods, vol. 94. SIAM, Philadelphia (2005)

3. Chan, R.H., Ho, C.-W., Nikolova, M.: Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization. IEEE Trans. Image Process. 14(10), 1479–1485 (2005)

4. Nikolova, M.: Minimizers of cost-functions involving nonsmooth data-fidelity terms. Application to the processing of outliers. SIAM J. Numer. Anal. 40(3), 965–994 (2002)

5. Idan, M., Speyer, J.L.: Cauchy estimation for linear scalar systems. IEEE Trans. Autom. Control 55(6), 1329–1342 (2010)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiplicative Gaussian Noise Removal using Partial Differential Equations and Activation Functions: A Robust and Stable Approach;Proceedings of the 7th International Conference on Algorithms, Computing and Systems;2023-10-19

2. Combination of Fast Finite Shear Wave Transform and Optimized Deep Convolutional Neural Network: A Better Method for Noise Reduction of Wetland Test Images;Electronics;2023-08-23