A Novel Iterative Thresholding Algorithm Based on Plug-and-Play Priors for Compressive Sampling

Lingjun Liu, Zhonghua Xie and Cui Yang
Additional contact information
Lingjun Liu: School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
Zhonghua Xie: School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
Cui Yang: School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China

Future Internet, 2017, vol. 9, issue 3, 1-10

Abstract: We propose a novel fast iterative thresholding algorithm for image compressive sampling (CS) recovery using three existing denoisers—i.e., TV (total variation), wavelet, and BM3D (block-matching and 3D filtering) denoisers. Through the use of the recently introduced plug-and-play prior approach, we turn these denoisers into CS solvers. Thus, our method can jointly utilize the global and nonlocal sparsity of images. The former is captured by TV and wavelet denoisers for maintaining the entire consistency; while the latter is characterized by the BM3D denoiser to preserve details by exploiting image self-similarity. This composite constraint problem is then solved with the fast composite splitting technique. Experimental results show that our algorithm outperforms several excellent CS techniques.

Keywords: compressive sampling; plug-and-play prior; BM3D; composite splitting (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/9/3/24/pdf (application/pdf)
https://www.mdpi.com/1999-5903/9/3/24/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:9:y:2017:i:3:p:24-:d:102514

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().