A nonlocal model for image restoration corrupted by multiplicative noise
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03265-3.pdf
Reference38 articles.
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2. Ramamoorthy, S., Siva Subramanian, R., Gandhi, D.: An efficient method for speckle reduction in ultrasound liver images for e-health applications. In: Natarajan, R. (ed.) Distributed Computing and Internet Technology, pp. 311–321. Springer, Cham (2014)
3. Cuomo, S., De Rosa, M., Izzo, S., Piccialli, F., Pragliola, M.: Speckle noise removal via learned variational models. Appl. Numer. Math. (2023). https://doi.org/10.1016/j.apnum.2023.06.002
4. Feng, X., Zhu, X.: In: Chen, K., Schönlieb, C.-B., Tai, X.-C., Younes, L. (eds.) Models for Multiplicative Noise Removal, pp. 313–346. Springer, Cham (2023). https://doi.org/10.1007/978-3-030-98661-2_60
5. Rudin, L., Lions, P.-L., Osher, S.: Multiplicative Denoising and Deblurring: Theory and Algorithms, pp. 103–119. Springer, New York, NY (2003). https://doi.org/10.1007/0-387-21810-6_6
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