Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (9): 2407-2412.doi: 10.12305/j.issn.1001-506X.2021.09.05
• Electronic Technology • Previous Articles Next Articles
Xiaoyu MA, Jinsheng ZHANG*, Ting LI
Received:
2020-07-22
Online:
2021-08-20
Published:
2021-08-26
Contact:
Jinsheng ZHANG
CLC Number:
Xiaoyu MA, Jinsheng ZHANG, Ting LI. Image compress and encryption method based on Chua's circuit and compressed sensing[J]. Systems Engineering and Electronics, 2021, 43(9): 2407-2412.
Table 1
Test result of NIST"
测试参数 | P值 | 比例 | 结果 |
frequency | 0.874 312 | 0.974 0 | 成功 |
block-frequency | 0.413 766 | 0.988 2 | 成功 |
cumulative-sums | 0.976 026 | 0.979 0 | 成功 |
runs | 0.128 761 | 0.989 0 | 成功 |
longest-run | 0.492 497 | 0.991 0 | 成功 |
rank | 0.823 145 | 0.981 0 | 成功 |
fft | 0.856 244 | 0.979 0 | 成功 |
nonperiodic-templates | 0.773 171 | 0.982 0 | 成功 |
universal | 0.134 725 | 0.988 0 | 成功 |
apen | 0.529 923 | 0.993 2 | 成功 |
random-excursions | 0.513 302 | 0.979 2 | 成功 |
random-excursions-variant | 0.454 122 | 0.989 4 | 成功 |
serial | 0.139 427 | 0.979 2 | 成功 |
1 |
CANDES E J , ROMBERG J , TAO T . Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J]. IEEE Trans.on Information Theory, 2006, 52 (2): 489- 509.
doi: 10.1109/TIT.2005.862083 |
2 |
DONOHO D L . Compressed sensing[J]. IEEE Trans.on Information Theory, 2006, 52 (4): 1289- 1306.
doi: 10.1109/TIT.2006.871582 |
3 |
DONOHO D L , TSAIG Y . Extensions of compressed sensing[J]. Signal Processing, 2006, 86 (3): 533- 548.
doi: 10.1016/j.sigpro.2005.05.028 |
4 | FOUCART S , RAUHUT H . A mathematical introduction to compressive sensing[M]. NewYork: Birkhauser, 2013: 31- 37. |
5 | THEODORIDIS S , KOPSINIS Y , SLAVAKIS K . Chapter 23-sparsity-aware learning and compressed sensing: an overview[J]. Academic Press Library in Signal Processing, 2014, 1, 1271- 1377. |
6 |
MOHADES M M , MOHADES A , TADAION A . A reed-solomon code based measurement matrix with small coherence[J]. IEEE Signal Processing Letters, 2014, 21 (7): 839- 843.
doi: 10.1109/LSP.2014.2314281 |
7 | 吴赟. 压缩感知测量矩阵的研究[D]. 西安: 西安电子科技大学, 2012. |
WU Y. Research on measurement matrix for compressive sensing[D]. Xian: Xidian University, 2012. | |
8 |
DUARTE M F , ELDAR Y C . Structured compressed sensing: from theory to applications[J]. IEEE Trans.on Signal Processing, 2011, 59 (9): 4053- 4085.
doi: 10.1109/TSP.2011.2161982 |
9 | GERSHO A , GRAY R M . Vector quantization and signal compression[M]. Boston: Springer, 1992. |
10 |
ELAD M . Optimized projections for compressed sensing[J]. IEEE Trans.on Signal Processing, 2007, 55 (12): 5695- 5702.
doi: 10.1109/TSP.2007.900760 |
11 | 李坤, 马彩文, 李艳, 等. 压缩感知重构算法综述[J]. 红外与激光工程, 2013, 42 (S1): 225- 232. |
LI K , MA C W , LI Y , et al. Survey on reconstruction algorithm based on compressive sensing[J]. Infrared and Laser Engineering, 2013, 42 (S1): 225- 232. | |
12 | JALBIN J, HEMALATHA R, RADHA S. Two measurement matrix based nonuniform sampling for wireless sensor networks[C]//Proc. of the 3rd International Conference on Computing Communication & Networking Technologies, 2012. |
13 | LINH T N, VAN P D, HUSSAIN Z M, et al. Compressed sensing using chaos filters[C]//Proc. of the Telecommunication Networks and Applications Conference, 2008. |
14 |
林斌, 彭玉楼. 基于混沌序列的压缩感知测量矩阵构造算法[J]. 计算机工程与应用, 2013, 49 (23): 199- 202.
doi: 10.3778/j.issn.1002-8331.1202-0344 |
LIN B , PENG Y L . Measurement matrix construction algorithm for compressed sensing based on chaos sequence[J]. Computer Engineering and Applications, 2013, 49 (23): 199- 202.
doi: 10.3778/j.issn.1002-8331.1202-0344 |
|
15 |
YU L , BARBOT J P , ZHENG G , et al. Compressive sensing with chaotic sequence[J]. IEEE Signal Processing Letters, 2010, 17 (8): 731- 734.
doi: 10.1109/LSP.2010.2052243 |
16 | 王伟, 曾以成, 孙睿婷. 含三个忆阻器的六阶混沌电路研究[J]. 物理学报, 2017, 66 (4): 29- 39. |
WANG W , ZENG Y C , SUN R T . Research on a six-order chaotic circuit with three memristors[J]. Acta Physica Sinica, 2017, 66 (4): 29- 39. | |
17 | CHUN Y , ZHONG Y H , YANG S H . Composite chaotic pseudo-random sequence encryption algorithm for compressed video[J]. Tsinghua Science and Technology, 2004, 9 (2): 234- 241. |
18 | XIANG D B , LI G X , YUE C F , et al. Generation and realization of digital chaotic key sequence based on double K-L transform[J]. Chinese Journal of Electronics, 2013, 22 (1): 131- 134. |
19 | 梁颖, 张绍武. 位级同步置乱扩散和像素级环形扩散图像加密算法[J]. 中国图象图形学报, 2018, 23 (6): 814- 826. |
LIANG Y , ZHANG S W . Image encryption algorithm based on bit-level synchronous permutation diffusion and pixel-level annular diffusion[J]. Journal of Image and Graphics, 2018, 23 (6): 814- 826. | |
20 |
XU L , LI Z , LI J , et al. A novel bit-level image encryption algorithm based on chaotic maps[J]. Optics and Lasers in Engineering, 2016, 78, 17- 25.
doi: 10.1016/j.optlaseng.2015.09.007 |
21 |
ZHANG Y S , XIAO D . An image encryption scheme based on rotation matrix bit-level permutation and block diffusion[J]. Communications in Nonlinear Science and Numerical Simulation, 2014, 19 (1): 74- 82.
doi: 10.1016/j.cnsns.2013.06.031 |
22 | 罗玉玲, 欧阳雪, 曹绿晨, 等. 遗传模拟退火算法和混沌系统的图像加密方法[J]. 西安电子科技大学学报, 2019, 45 (5): 171- 179. |
LUO Y L , OUYANG X , CAO L C , et al. Image encryption using the genetic simulated annealing algorithm and chaotic systems[J]. Journal of Xidian University, 2019, 45 (5): 171- 179. |
[1] | He TIAN, Chunzhu DONG, Hongcheng YIN. Radar target three-dimensional scattering centers inversion based on compressed sensing and frequency sparsity [J]. Systems Engineering and Electronics, 2022, 44(9): 2783-2790. |
[2] | Ailun XIE, Xiaobin LIU, Feng ZHAO, Xiaofeng AI, Shunping XIAO. Reconstruction method of PCM signal intermittent transmitting and receiving echo in radiation simulation [J]. Systems Engineering and Electronics, 2022, 44(3): 771-776. |
[3] | Hai LI, Ze HUYAN, Zhijie MAO. Low-altitude wind-shear velocity ambiguity resolution based on compressed sensing under strong clutter [J]. Systems Engineering and Electronics, 2022, 44(10): 3029-3036. |
[4] | Ce JI, Jinzhi WANG, Boqun LI. OFDM sparse channel estimation based on RSAMP algorithm [J]. Systems Engineering and Electronics, 2021, 43(8): 2290-2296. |
[5] | Ling ZHUANG, Huashuang YE. Improved clipping noise elimination scheme for compressed sensing [J]. Systems Engineering and Electronics, 2021, 43(8): 2341-2346. |
[6] | Tianyao HUANG, Yuhan LI, Lei WANG, Yimin LIU, Xiqin WANG. Review of Performance bounds on sparse target recovery using coherent frequency agile radar [J]. Systems Engineering and Electronics, 2021, 43(7): 1729-1736. |
[7] | Zixin ZHANG, Guoping HU, Hao ZHOU, Chenghong ZHAN. Low elevation angle estimation algorithm for MIMO radar based on sparse reconstruction of cross-covariance [J]. Systems Engineering and Electronics, 2021, 43(5): 1218-1223. |
[8] | Yingxin ZHAO, Changfeng WANG, Hong WU, Ming ZHANG, Yingjie HUANG, Legeng WANG, Zhiyang LIU. Channel estimation algorithm based on compressed sensing with maximizing negative entropy [J]. Systems Engineering and Electronics, 2021, 43(4): 1126-1132. |
[9] | Guiyong LI, Min YU, Yongkun YU. Distributed compressed sensing LMMSE channel estimation in massive MIMO systems [J]. Systems Engineering and Electronics, 2021, 43(3): 823-831. |
[10] | Feng RUAN, Xialei LU, Liang GUO, Yachao LI. Improvement of super-resolution correlated imaging based on metamaterial antenna [J]. Systems Engineering and Electronics, 2021, 43(12): 3510-3517. |
[11] | Zhixing LIU, Yinghui QUAN, Guoyao XIAO, Mengdao XING. Signal design method for integrated radar and communication based on PRI agility [J]. Systems Engineering and Electronics, 2021, 43(10): 2836-2842. |
[12] | Binrui LI, Zhongpei ZHANG. Channel estimation for reconfigurable intelligent surface assisted low-resolution quantized massive MIMO [J]. Systems Engineering and Electronics, 2021, 43(10): 2984-2991. |
[13] | Guisheng WANG, Guoce HUANG, Yequn WANG, Shufu DONG, Qinghua REN, Shuai WEI. Anti-interference method with intelligence for transform domain communication based on cognitive-engine [J]. Systems Engineering and Electronics, 2021, 43(1): 223-231. |
[14] | Qiang HUANG, Jianguo YU, Pengfei SHI. Complex ballistic group targets tracking based on adaptive compressed sensing [J]. Systems Engineering and Electronics, 2020, 42(8): 1710-1717. |
[15] | Ce JI, Xiaomeng ZHANG. Regularization orthogonal matching pursuit based on multiple support [J]. Systems Engineering and Electronics, 2020, 42(4): 756-763. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||