A nonlinear diffusion model for image restoration
DOI10.1007/S10255-016-0592-7zbMath1362.35338OpenAlexW2509964250WikidataQ113107426 ScholiaQ113107426MaRDI QIDQ517199
Xinyan Yu, Xiu-Xiu Niu, Bin Zhang, Yong-gui Zhu
Publication date: 23 March 2017
Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10255-016-0592-7
Inverse problems for PDEs (35R30) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Numerical solution to inverse problems in abstract spaces (65J22) Quasilinear parabolic equations (35K59)
Cites Work
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- Nonlinear total variation based noise removal algorithms
- Weighted-average alternating minimization method for magnetic resonance image reconstruction based on compressive sensing
- Image denoising and segmentation via nonlinear diffusion
- The Split Bregman Method for L1-Regularized Problems
- Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
- Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
- Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II
- Signal and Image Restoration Using Shock Filters and Anisotropic Diffusion
- The Perona--Malik Paradox
- On the incorporation of time-delay regularization into curvature-based diffusion
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