Removal of mixed Gaussian and impulse noise using directional tensor product complex tight framelets

DOI10.1007/s10851-015-0589-5zbMath1339.94012OpenAlexW1894417770MaRDI QIDQ268699

F. Blanchet-Sadri, M. Dambrine

Publication date: 15 April 2016

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-015-0589-5

zbMATH Keywords

iterative algorithmblind image inpaintingdirectional tensor product complex tight frameletsmixture of Gaussian noise and impulse noiserandom-valued impulse noisesalt-and-pepper impulse noise

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Convex programming (90C25) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Iterative numerical methods for linear systems (65F10) General harmonic expansions, frames (42C15) Interpolation in approximation theory (41A05)

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Cites Work

• Wavelet frame based blind image inpainting
• On dual wavelet tight frames
• A framelet-based image inpainting algorithm
• Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting
• A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise
• Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting
• Tensor Product Complex Tight Framelets with Increasing Directionality
• Split Bregman Methods and Frame Based Image Restoration
• Restoration of Chopped and Nodded Images by Framelets
• A new approach to variable selection in least squares problems
• An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
• Properties of Discrete Framelet Transforms
• Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise
• A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise