Investigation of key parameters to define stop condition in image denoising algorithms based on the diffusion equation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-022-02306-z.pdf
Reference19 articles.
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3. Torkamani-Azar, F., Tait, K.: Image recovery using the anisotropic diffusion equation. IEEE Trans. Image Process. 5(11), 1573–1578 (1996)
4. Gilboa, G., Sochen, N., Zeevi, Y.Y.: Forward-and-backward diffusion processes for adaptive image enhancement and denoising. IEEE Trans. Image Process. 11(7), 689–703 (2002)
5. Liu, J., She, K., Li, Y., Tu, Q.: Image diffusion filtering algorithm combined with variable exponent and convective constraint. SIViP 13(1), 87–94 (2019)
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