Combining Fields of Experts (FoE) and K-SVD methods in pursuing natural image priors-Reference-Cited by-同舟云学术

Combining Fields of Experts (FoE) and K-SVD methods in pursuing natural image priors

Published:2021-07 Issue: Volume:78 Page:103142
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Jiang Feng,Chen ZhiYuan^ORCID,Nazir Amril^ORCID,Shi WuZhen,Lim WeiXiang^ORCID,Liu ShaoHui,Rho SeungMin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference50 articles.

1. Image and video restorations via nonlocal kernel regression;Zhang;IEEE Trans. Syst. Man Cybern.,2013

2. From heuristic optimization to dictionary learning: A review and comprehensive comparison of image denoising algorithms;Shao;IEEE Trans. Syst. Man Cybern.,2014

3. Learning multiple linear mappings for efficient single image super-resolution;Zhang;IEEE Trans. Image Process.,2015

4. Visual words assignment via information-theoretic manifold embedding;Dai;IEEE Trans. Syst. Man Cybern.,2014

5. Online signature verification based on DCT and sparse representation;Liu;IEEE Trans. Syst. Man Cybern.,2015

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