Backtracking-Based Iterative Regularization Method for Image Compressive Sensing Recovery
Work
Year: 2017
Type: article
Abstract: This paper presents a variant of the iterative shrinkage-thresholding (IST) algorithm, called backtracking-based adaptive IST (BAIST), for image compressive sensing (CS) reconstruction. For increasing... more
Source: Algorithms
Authors Lingjun Liu, Zhonghua Xie, Jiuchao Feng
Institution South China University of Technology
Cites: 15
Cited by: 3
Related to: 10
FWCI: 0.417
Citation percentile (by year/subfield): 55.78
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
APC paid (est): $1,515
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, Specialized Research Fund for the Doctoral Program of Higher Education of China
Grant IDS 61302120, 61327005, 20130172120045