A NOVEL NOISE REMOVAL METHOD BASED ON FRACTIONAL ANISOTROPIC DIFFUSION AND SUBPIXEL APPROACH
DOI10.1142/S1793005711001871zbMath1216.65032OpenAlexW2082497804MaRDI QIDQ2997917
H. D. Cheng, Ying-Tao Zhang, Yang Quan Chen, Jian Hua Huang
Publication date: 10 May 2011
Published in: New Mathematics and Natural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s1793005711001871
computer visionimage processingsignal-to-noise ratioanisotropic diffusionexperimental resultsnoise removalsubpixelfractional-order PDEfractional-order anisotropic diffusionsubpixel fractional partial difference
Initial-boundary value problems for second-order parabolic equations (35K20) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) 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) Fractional partial differential equations (35R11)
Related Items (3)
Cites Work
- Nonlinear total variation based noise removal algorithms
- Fourth-order partial differential equations for noise removal
- 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
- High-Order Total Variation-Based Image Restoration
- Iterative Methods for Total Variation Denoising
- Noise-Driven Anisotropic Diffusion Filtering of MRI
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