Hybrid-Weighted Total Variation and Nonlocal Low-Rank-Based Image Compressed Sensing Reconstruction

Hybrid-Weighted Total Variation and Nonlocal Low-Rank-Based Image Compressed Sensing Reconstruction

To reconstruct natural images from compressed sensing (CS) measurements accurately and effectively, a CS image reconstruction algorithm based on hybrid-weighted total variation (HWTV) and nonlocal low-rank (NLR) is proposed. It considers the local smoothness and nonlocal self-similarity (NSS) in ima...

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Bibliographic Details
Main Authors: Hui Zhao, Yanzhou Liu, Cheng Huang, Tianlong Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image reconstruction
compressed sensing
hybrid-weighted total variation
nonlocal low-rank
Online Access:https://ieeexplore.ieee.org/document/8974271/

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