An Entropy-Based Algorithm with Nonlocal Residual Learning for Image Compressive Sensing Recovery

An Entropy-Based Algorithm with Nonlocal Residual Learning for Image Compressive Sensing Recovery

Image recovery from compressive sensing (CS) measurement data, especially noisy data has always been challenging due to its implicit ill-posed nature, thus, to seek a domain where a signal can exhibit a high degree of sparsity and to design an effective algorithm have drawn increasingly more attenti...

Full description

Bibliographic Details
Main Authors: Zhonghua Xie, Lingjun Liu, Cui Yang
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Entropy
Subjects:
compressive sensing (CS)
residual leaning
group sparsity
Laplacian scale mixture (LSM)
relative entropy
denoising-based approximate message passing (D-AMP)
Online Access:https://www.mdpi.com/1099-4300/21/9/900

Internet

https://www.mdpi.com/1099-4300/21/9/900

Similar Items