An image compression and encryption algorithm based on chaotic system and compressive sensing
Authors:
- Lihua GongLGLihua Gong
- Kaide QiuKQKaide Qiu
- Chengzhi DengCDChengzhi Deng
- Nanrun ZhouNZNanrun Zhou
- 1 July 2019
- journal article
- research article
- Published by Elsevier in Optics & Laser Technology
- Vol. 115, 257-267
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61861029, 61462061, 61262084)
- Major Academic Discipline and Technical Leader of Jiangxi Province (20162BCB22011)
- Natural Science Foundation of Jiangxi Province (20171BAB202002)
- Opening Project of Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing (2016WICSIP001)
This publication has 33 references indexed in Scilit:
- Image compression and encryption scheme based on 2D compressive sensing and fractional Mellin transformOptics Communications, 2015
- A new wavelet based efficient image compression algorithm using compressive sensingMultimedia Tools and Applications, 2015
- Compressive optical image encryption with two-step-only quadrature phase-shifting digital holographyOptics Communications, 2015
- Novel image compression–encryption hybrid algorithm based on key-controlled measurement matrix in compressive sensingOptics & Laser Technology, 2014
- A fast image encryption scheme with a novel pixel swapping-based confusion approachNonlinear Dynamics, 2014
- An image encryption scheme based on rotation matrix bit-level permutation and block diffusionCommunications in Nonlinear Science and Numerical Simulation, 2014
- Local Shannon entropy measure with statistical tests for image randomnessInformation Sciences, 2013
- CRYPTANALYSIS OF FRIDRICH'S CHAOTIC IMAGE ENCRYPTIONInternational Journal of Bifurcation and Chaos, 2010
- An image encryption approach based on chaotic mapsChaos, Solitons & Fractals, 2005
- Symmetric Ciphers Based on Two-Dimensional Chaotic MapsInternational Journal of Bifurcation and Chaos, 1998