This work is licensed under the Creative Commons Attribution 4.0 International License.
Abura'Ed, N., Khan, F. S., & Bhaskar, H. (2017). Advances in the Quantum Theoretical Approach to Image Processing Applications. ACM Computing Surveys, 49(4), 75.1-75.49.Search in Google Scholar
Yang, C., Feng, H., Xu, Z., Chen, Y., & Li, Q. (2020). Image Deblurring Utilizing Inertial Sensors and a Short-Long-Short Exposure Strategy. IEEE Transactions on Image Processing, 29, 4614-4626.Search in Google Scholar
Jaouen, V., Bert, J., Boussion, N., et al. (2019). Image Enhancement With PDEs and Nonconservative Advection Flow Fields. IEEE Transactions on Image Processing, 28(6), 3075-3088.Search in Google Scholar
Li, S., & Yang, X. (2017). Novel Image Inpainting Algorithm Based on Adaptive Fourth-Order Partial Differential Equation. IET Image Processing, 11(10), 870-879.Search in Google Scholar
Mohaoui, S., Hakim, A., & Raghay, S. (2022). Smooth tensor robust principal component analysis with application to color image recovery. Digital Signal Processing, 123, 103390.Search in Google Scholar
Wang, Y., Yuan, Q., & He, C. (2019). Indirect Diffusion Based Level Set Evolution for Image Segmentation. Applied Mathematical Modelling, 69, 714-722.Search in Google Scholar
Lu, D., Huang, X., & Sui, L. (2018). Binarization of Degraded Document Images Based on Contrast Enhancement. International Journal on Document Analysis and Recognition (IJDAR), 21(1-2), 123-135.Search in Google Scholar
Shu, F. (2018). A novel variational model for noise robust document image binarization. Neurocomputing, 325.Search in Google Scholar
Pang, Z., Zhou, Y., Wu, T., et al. (2019). Image Denoising via a New Anisotropic Total-Variation-based Model. Signal Processing: Image Communication, 74, 140–152.Search in Google Scholar
Yan, J., & Lu, W. (2015). Image Denoising by Generalized Total Variation Regularization and Least Squares Fidelity. Multidimensional Systems and Signal Processing, 26, 243–266.Search in Google Scholar
Zhang, K., Zuo, W., Chen, Y., et al. (2017). Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. IEEE Transactions on Image Processing, 26(7), 3142–3155.Search in Google Scholar
Sabir, Z., Amin, F., Pohl, D., et al. (2020). Intelligence computing approach for solving a second-order system of Emden–Fowler model. Journal of Intelligent & Fuzzy Systems, 38(6), 7391-7406.Search in Google Scholar
Xu, J., Wei, J., Chen, Q., Zha, W., & Nie, K. (2022). A low-power conditional analog correlated multiple sampling circuit for low-noise CMOS image sensor. Microelectronics journal, 123.Search in Google Scholar
Liu, J., Lou, Y., Ni, G., et al. (2020). An Image Sharpening Operator Combined with Framelet for Image Deblurring. Inverse Problems, 36(4).Search in Google Scholar
He, W., Zhang, H., Zhang, L., et al. (2015). Total-variation-regularized low-rank matrix factorization for hyperspectral image restoration. IEEE Transactions on Geoscience and Remote Sensing, 54(1), 178-188.Search in Google Scholar
Lv, X.-G., Song, Y.-Z., Wang, S.-X., Le, J. (2018). Image Restoration with a High-Order Total Variation Minimization Method. Applied Mathematical Modelling, 37(16-17), 8210-8224.Search in Google Scholar
Montemurro, M. (2022). On the structural stiffness maximisation of anisotropic continua under inhomogeneous Neumann-Dirichlet boundary conditions. Composite structures, 287.Search in Google Scholar