CONVERGENCE OF AN ITERATIVE NONLINEAR SCHEME FOR DENOISING OF PIECEWISE CONSTANT IMAGES
DOI10.1142/S0219691307002142zbMath1138.94329OpenAlexW2124070220MaRDI QIDQ5386799
Jianwei Ma, Gerlind Plonka-Hoch
Publication date: 14 May 2008
Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0219691307002142
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs (65M12)
Cites Work
- Unnamed Item
- Combining the calculus of variations and wavelets for image enhancement.
- Relations between regularization and diffusion filtering
- Diffusion-inspired shrinkage functions and stability results for wavelet denoising
- Image segmentation and edge enhancement with stabilized inverse diffusion equations
- Mean, median and mode filtering of images
- Combined Complex Ridgelet Shrinkage and Total Variation Minimization
- The curvelet transform for image denoising
- Matrix Analysis
- Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
- A Variational Method in Image Recovery
- The digital TV filter and nonlinear denoising
- Interpreting translation-invariant wavelet shrinkage as a new image smoothing scale space
- Reconstruction of Wavelet Coefficients Using Total Variation Minimization
- Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
- Local Strong Homogeneity of a Regularized Estimator
- On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs
- A MULTISCALE WAVELET-INSPIRED SCHEME FOR NONLINEAR DIFFUSION
- A Review of Image Denoising Algorithms, with a New One
This page was built for publication: CONVERGENCE OF AN ITERATIVE NONLINEAR SCHEME FOR DENOISING OF PIECEWISE CONSTANT IMAGES