Progressive Image Denoising Through Hybrid Graph Laplacian Regularization: A Unified Framework
From MaRDI portal
Publication:4592121
DOI10.1109/TIP.2014.2303638zbMath1374.94227WikidataQ44019135 ScholiaQ44019135MaRDI QIDQ4592121
Guangtao Zhai, Debin Zhao, Deming Zhai, Wen Gao, Xian-Ming Liu
Publication date: 20 November 2017
Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (10)
An improved graph Laplacian regularization method for identifying biomarkers of Alzheimer's disease ⋮ Boosting of Image Denoising Algorithms ⋮ A literature survey of matrix methods for data science ⋮ Inversion of Band-Limited Discrete Fourier Transforms of Binary Images: Uniqueness and Algorithms ⋮ Patch Ordering as a Regularization for Inverse Problems in Image Processing ⋮ The Little Engine that Could: Regularization by Denoising (RED) ⋮ The Steerable Graph Laplacian and its Application to Filtering Image Datasets ⋮ Theoretical guarantees for graph sparse coding ⋮ Image Denoising via Multiscale Nonlinear Diffusion Models ⋮ Split-Douglas--Rachford Algorithm for Composite Monotone Inclusions and Split-ADMM
This page was built for publication: Progressive Image Denoising Through Hybrid Graph Laplacian Regularization: A Unified Framework