Uneingeschränkter Zugang

Numerical implementation of level set image recovery based on partial differential equation model

   | 06. Sept. 2023

Zitieren

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

eISSN:
2444-8656
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Biologie, andere, Mathematik, Angewandte Mathematik, Allgemeines, Physik