Image compression-encryption algorithm based on 2D compressive sensing and double random phase encoding

Jinlong Liu; Miao Zhang; Xiaojun Tong; Zhu Wang

doi:10.1088/1742-6596/1684/1/012123

Image compression-encryption algorithm based on 2D compressive sensing and double random phase encoding

Jinlong Liu
, Miao Zhang
, Xiaojun Tong^*
, Zhu Wang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

In this paper, an image compression and encryption algorithm based on 2D compressive sensing and double random phase encoding is proposed. Compared with traditional encryption algorithms, 2D compressive sensing can realize image compression and encryption at the same time, with high execution efficiency. Double random phase encoding can not only realize image encryption fast, but also has robustness. Moreover, combining 2D compressive sensing with double random phase encoding can obtain better encryption security. Simulation results show that this algorithm has better image compression performance, and can ensure security and robustness.

Original language	English
Article number	012123
Journal	Journal of Physics: Conference Series
Volume	1684
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/1684/1/012123
State	Published - 30 Nov 2020
Externally published	Yes
Event	2020 International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2020 - Shanghai, China Duration: 18 Sep 2020 → 20 Sep 2020

Access to Document

10.1088/1742-6596/1684/1/012123

Cite this

@article{91fe50a03e2c4f57941cb89cca8c2a1b,

title = "Image compression-encryption algorithm based on 2D compressive sensing and double random phase encoding",

abstract = "In this paper, an image compression and encryption algorithm based on 2D compressive sensing and double random phase encoding is proposed. Compared with traditional encryption algorithms, 2D compressive sensing can realize image compression and encryption at the same time, with high execution efficiency. Double random phase encoding can not only realize image encryption fast, but also has robustness. Moreover, combining 2D compressive sensing with double random phase encoding can obtain better encryption security. Simulation results show that this algorithm has better image compression performance, and can ensure security and robustness.",

author = "Jinlong Liu and Miao Zhang and Xiaojun Tong and Zhu Wang",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 2020 International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2020 ; Conference date: 18-09-2020 Through 20-09-2020",

year = "2020",

month = nov,

day = "30",

doi = "10.1088/1742-6596/1684/1/012123",

language = "英语",

volume = "1684",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "IOP Publishing Ltd.",

number = "1",

}

TY - JOUR

T1 - Image compression-encryption algorithm based on 2D compressive sensing and double random phase encoding

AU - Liu, Jinlong

AU - Zhang, Miao

AU - Tong, Xiaojun

AU - Wang, Zhu

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2020/11/30

Y1 - 2020/11/30

N2 - In this paper, an image compression and encryption algorithm based on 2D compressive sensing and double random phase encoding is proposed. Compared with traditional encryption algorithms, 2D compressive sensing can realize image compression and encryption at the same time, with high execution efficiency. Double random phase encoding can not only realize image encryption fast, but also has robustness. Moreover, combining 2D compressive sensing with double random phase encoding can obtain better encryption security. Simulation results show that this algorithm has better image compression performance, and can ensure security and robustness.

AB - In this paper, an image compression and encryption algorithm based on 2D compressive sensing and double random phase encoding is proposed. Compared with traditional encryption algorithms, 2D compressive sensing can realize image compression and encryption at the same time, with high execution efficiency. Double random phase encoding can not only realize image encryption fast, but also has robustness. Moreover, combining 2D compressive sensing with double random phase encoding can obtain better encryption security. Simulation results show that this algorithm has better image compression performance, and can ensure security and robustness.

UR - https://www.scopus.com/pages/publications/85097346516

U2 - 10.1088/1742-6596/1684/1/012123

DO - 10.1088/1742-6596/1684/1/012123

M3 - 会议文章

AN - SCOPUS:85097346516

SN - 1742-6588

VL - 1684

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 1

M1 - 012123

T2 - 2020 International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2020

Y2 - 18 September 2020 through 20 September 2020

ER -

Image compression-encryption algorithm based on 2D compressive sensing and double random phase encoding

Abstract

Access to Document

Other files and links

Fingerprint

Cite this