A Multiplicative Noise Removal Approach Based on Partial Differential Equation Model

Tian, D., Du, Y., & Chen, D. (2016). An Adaptive Fractional-Order Variation Method for Multiplicative Noise Removal. Journal of Information Science and Engineering, 32(3), 747-762. https://doi.org/10.6688/JISE.2016.32.3.13
Somayasa, W., Wibawa, G. N. A., Hamimu, L., & Ngkoimani, L. O. (2016). Asymptotic Theory in Model Diagnostic for General Multivariate Spatial Regression. International Journal of Mathematics and Mathematical Sciences, 2016(), 53-68. https://doi.org/10.1155/2016/2601601
Chesneau, C. (2014). A Note on the Adaptive Estimation of a Multiplicative Separable Regression Function. ISRN Applied Mathematics, (), 243-249. https://doi.org/10.1155/2014/271303
簡宏濂（2020）。A multivariate regression approach for modeling spatial nonstationarity〔碩士論文，淡江大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0002-0608202014281000
Deng, H., Zhu, Q., Song, X., & Tao, J. (2017). A Decision-Based Modified Total Variation Diffusion Method for Impulse Noise Removal. Computational Intelligence and Neuroscience, 2017(), 1-20. https://doi.org/10.1155/2017/2024396