Backtracking-Based Iterative Regularization Method for Image Compressive Sensing Recovery

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 iterations, IST usually yields a smoothing of the solution and runs into prematurity. To add back m...

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Bibliographic Details
Main Authors: Lingjun Liu, Zhonghua Xie, Jiuchao Feng
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/10/1/7