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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 4, Pages 1,453-1,469, DOI: https://doi.org/10.21307/ijssis-2017-715
License : (CC BY-NC-ND 4.0)
Received Date : 21-May-2014 / Accepted: 01-October-2014 / Published Online: 01-December-2014
Digital image scrambling is to transform a digital image, to make it unrecognizable and
become another chaos images without obvious meaning. If the operator knows the algorithms, he can
reconstruct the original image from the chaos image by using the certain algorithms. Image scrambling
encryption technology that based on Chaos Theory encrypts the image data stream through using the
chaotic signal. It has the advantage like high security, encryption speed, large key space, and good
scrambling effect. This paper studies the "extraordinary Key" and "to be trivial key" that are in the
chaotic sequences that is caused by Logistic map, thus presents a image chaotic encryption algorithm
that is based on hybrid chaotic sequence. Firstly, the algorithm generate hybrid chaotic sequence
through the key; then through generates the corresponding offset matrix and permutation matrix the
discrete mapping; finally, do the implementation of wavelet transform to the image, do the digital image
scrambling encryption in the transform domain. In order to measure the degree of scrambling, we
propose a "scrambling degree" concept. Experiments confirmed that the encryption algorithm has
good scrambling in nature, and achieved good encryption effect. It confirmed the degree of scrambling
encryption can effectively reflect the effect of scrambling encryption of the algorithm.
 Ding Wei, Dong Xu. Digital image transformation and information hiding and camouflage
techniques, Journal of Computers, 2012, 21 (9), 838-843.
 Dong Xu, Zou Jiancheng, HAN Xiao Yu. A new class of scrambling transformation and its
application in image information hiding. Science in China (E Series), 2012,30 (5),440-447.
 Ding Wei, Yan Wei Qi, Qi Dongxu. Based on Scrambling and the integration of digital
image hiding technology and its applications. Chinese Journal of Image and Graphics,
2012,5 (8) :644-649.
 Ding Wei, Yan Wei Qi, Qi Dongxu based on Arnold transform digital image scrambling
technology. Computer Aided Design and Computer Graphics, 2012,13 (4) :338-341.
 Sen, Cao Xiu, Affine transform digital image scrambling technology. Computer Engineering
and Applications, 2012, 10:74-76.
 Cicek, I.; et al., Random number generation using field programmable analog array
implementation of logistic map, Signal Processing and Communications Applications
Conference (SIU), pp.1 - 4, 2013.
 Zengli Wang; Xuejun Liu, Wavelet analysis in remove-restore theory -a novel
application,2014 33rd Chinese Control Conference (CCC), pp.9045 - 9047, 2014.
 Chalamala, S.R. et al., Analysis of wavelet and contour let transform based image
watermarking techniques, 2014 IEEE International Advance Computing Conference (IACC),
 Jin Qibing; Khursheed, S,A wavelet theory about online wavelets denoising based on Moving
Window and Principal Component Analysis (PCA), 2013 International Conference on
Wavelet Analysis and Pattern Recognition (ICWAPR), pp. 56-61, 2013.
 Mary Praveena, S.; Vennila, I., Fusion of image scheme based on Mallet algorithm and
curvelet transform, 2011 International Conference on Recent Trends in Information
Technology (ICRTIT), pp. 775 -778, 2011.
 G.Sengupta, T.A.Win, C.Messom, S.Demidenko and S.C.Mukhopadhyay, “Defect analysis
of grit-blasted or spray printed surface using vision sensing technique”, Proceedings of
Image and Vision Computing NZ, Nov. 26-28, 2003, Palmerston North, pp. 18-23.
 Yanmin LUO, Peizhong LIU and Minghong LIAO, An artificial immune network clustering
algorithm for mangroves remote sensing, International Journal on Smart Sensing and
Intelligent Systems, VOL. 7, NO. 1, pp. 116 – 134, 2014.
 Daode Zhang et al., Research on chips’ defect extraction based on image-matching,
International Journal on Smart Sensing and Intelligent Systems, VOL. 7, NO. 1, pp.321 –