Perona-Malik model with self-adjusting shape-defining constant
From MaRDI portal
Publication:1641155
DOI10.1016/j.ipl.2018.04.016zbMath1481.94026OpenAlexW2802655973WikidataQ129899710 ScholiaQ129899710MaRDI QIDQ1641155
Hubert Msuya, Suzan Kessy, Michael Kisangiri, Baraka Jacob Maiseli
Publication date: 15 June 2018
Published in: Information Processing Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ipl.2018.04.016
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
- Nonlinear total variation based noise removal algorithms
- Fractional-order total variation image denoising based on proximity algorithm
- A robust super-resolution method with improved high-frequency components estimation and aliasing correction capabilities
- A backward-forward regularization of the Perona-Malik equation
- A multi-frame image super-resolution method
- An alternative variational framework for image denoising
- A total variation model based on the strictly convex modification for image denoising
- A new nonlocal total variation regularization algorithm for image denoising
- Anisotropic nonlocal means denoising
- The Perona-Malik inequality and application to image denoising
- Variational models for image inpainting
- The Perona--Malik Paradox
- Image Denoising With 2D Scale-Mixing Complex Wavelet Transforms
- Minimum Risk Wavelet Shrinkage Operator for Poisson Image Denoising
- Image denoising using local contrast and adaptive mean in wavelet transform domain
- Adaptive Perona–Malik Model Based on the Variable Exponent for Image Denoising
- On the Partial Difference Equations of Mathematical Physics
