Image encryption based on chaotic adjustment of wavelet coefficient

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (19): 193-195.

• 图形、图像、模式识别 • Previous Articles Next Articles

Image encryption based on chaotic adjustment of wavelet coefficient

HE Xi-ping¹,ZHANG Qiong-hua²

1.College of Computer Science and Information Engineering，Chongqing Technology and Business University，Chongqing 400067，China
2.Library，Chongqing University，Chongqing 400067，China

Received:2007-09-27 Revised:2007-11-26 Online:2008-07-01 Published:2008-07-01
Contact: HE Xi-ping

基于小波系数混沌调节的图像加密算法

何希平¹,张琼华²

1.重庆工商大学计算机科学与信息工程学院，重庆 400067
2.重庆工商大学图书馆，重庆 400067

通讯作者: 何希平

Abstract

Abstract: This paper is aimming at the image encryption scheme applicable to JPEG2000 codec.Firstly，two chaotic maps are suggested and their statistic characteristics are also analyzed.Secondly，to accomplish a controllable visual effect of encrypted image，a visual quality control model is presented，and on the basis of which，a chaotic image encryption scheme is constructed by chaotically adjusting the randomly selected approximate coefficients at the coarsest level in wavelet domain.Then，the security and efficiency of the algorithm are analyzed.Finally，the experiment results illustrate that the proposed algorithms are credible，secure，efficient and practical for JPSEC.

Key words: image, wavelet coefficient, encryption, chaotic adjustment

摘要： 研究适用于JPEG2000标准的图像加密技术。首先给出了两个混沌映射，并分析了其统计特性；为实现基于质量可控的图像加密，构建了加密的视觉质量控制模型；在此基础上，通过对随机选取的最粗级小波近似系数进行深度可控的混沌调节，实现了图像加密；最后，对加密算法进行了有效性分析。用实验结果验证了该算法是可靠、安全、高效并对JPSEC是实用的。

关键词: 图像, 小波系数, 加密, 混沌调节

HE Xi-ping¹,ZHANG Qiong-hua². Image encryption based on chaotic adjustment of wavelet coefficient[J]. Computer Engineering and Applications, 2008, 44(19): 193-195.

何希平¹,张琼华². 基于小波系数混沌调节的图像加密算法[J]. 计算机工程与应用, 2008, 44(19): 193-195.

[1]	XU Hao, ZHANG Kai, TIAN Yingjie, CHONG Faguang, WANG Zichao. Review of Deep Neural Network-Based Image Caption [J]. Computer Engineering and Applications, 2021, 57(9): 9-22.
[2]	RAN Rong, XU Xinghua, QIU Shaohua, CUI Xiaopeng, OUYANG Bin. Review of Crack Detection Methods Based on Deep Convolutional Neural Networks [J]. Computer Engineering and Applications, 2021, 57(9): 23-35.
[3]	ZHANG Bo, XU Liming, HUANG Zhiwei, YAO Xiaopeng. Multi-objective GANs Pareto Optimality Algorithm Using Gradient Strategy [J]. Computer Engineering and Applications, 2021, 57(9): 89-95.
[4]	ZHOU Lungang, SUN Yifeng, WANG Kun, WU Jiang, HUANG Weigui, LI Binglong. End to End Object Recognition Algorithm for Multi-attributes of Multi-values [J]. Computer Engineering and Applications, 2021, 57(9): 182-190.
[5]	ZHU Jian, LIU Peiyu, CHEN Bingfeng, CAI Ruichu. Image De-raining via Similar Patch Matching and Minimum Value Filtering [J]. Computer Engineering and Applications, 2021, 57(9): 191-198.
[6]	ZHANG Zhentong, SHAN Yugang, YUAN Jie. Remote Sensing Image Detection Algorithm Combining Multi-scale and Attention Mechanism [J]. Computer Engineering and Applications, 2021, 57(9): 212-216.
[7]	LU Lixia, ZOU Junzhong, GUO Yucheng, ZHANG Jian, WANG Bei. Prediction of Knee Injury Based on Multimodal Fusion [J]. Computer Engineering and Applications, 2021, 57(9): 225-232.
[8]	YAN Xiaoshen, GAO Qiang, ZHU Simeng, XI Xuecheng, ZHAO Wansheng. Study on Character Segmentation Algorithm of Pressed Character on Uneven Brightness Low Quality Images [J]. Computer Engineering and Applications, 2021, 57(8): 185-191.
[9]	ZHANG Xiaowen, REN Yongfeng. Image Matching Algorithm Combining Sparse Representation and Topological Similarity [J]. Computer Engineering and Applications, 2021, 57(8): 198-203.
[10]	ZHAO Yang, ZHANG Junhua. Multi-scale Feature Fusion Method for Spinal X-Ray Image Segmentation [J]. Computer Engineering and Applications, 2021, 57(8): 214-219.
[11]	ZHANG Hanyu, WU Zhihao, XU Yong, CHEN Bin. Face Forensics Detection Method Based on Enhanced Convolutional Neural Networks [J]. Computer Engineering and Applications, 2021, 57(8): 220-224.
[12]	PAN Peixin, PAN Zhongliang. Active Contour Image Segmentation Combined with Saliency [J]. Computer Engineering and Applications, 2021, 57(8): 225-230.
[13]	DONG Peng, ZHOU Feng, ZHAO Congcong, WANG Yafei, MI Zetian, FU Xianping. Automatic Measurement of Underwater Sea Cucumber Size Based on Binocular Vision [J]. Computer Engineering and Applications, 2021, 57(8): 271-278.
[14]	SHI Chuntian, ZENG Yanyang, HOU Shouming. Summary of Application of Swarm Intelligence Algorithms in Image Segmentation [J]. Computer Engineering and Applications, 2021, 57(8): 36-47.
[15]	DONG Xubin, ZHAO Qinghua. Research and Application of Improved Mask R-CNN in Aerial Image Target Detection [J]. Computer Engineering and Applications, 2021, 57(8): 133-144.

Image encryption based on chaotic adjustment of wavelet coefficient

基于小波系数混沌调节的图像加密算法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics