Design of Digital Image Encryption Algorithm Based On Mixed Chaotic Sequences

1Ding Wei, Dong Xu. Digital image transformation and information hiding and camouflage techniques, Journal of Computers, 2012, 21 (9), 838-843. Search in Google Scholar

2Dong 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. Search in Google Scholar

3Ding 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. Search in Google Scholar

4Ding 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. Search in Google Scholar

5Sen, Cao Xiu, Affine transform digital image scrambling technology. Computer Engineering and Applications, 2012, 10:74-76. Search in Google Scholar

6Cicek, 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, 2013.10.1109/SIU.2013.6531560 Search in Google Scholar

7Zengli Wang; Xuejun Liu, Wavelet analysis in remove-restore theory -a novel application,2014 33rd Chinese Control Conference (CCC), pp.9045 - 9047, 2014. Search in Google Scholar

8Chalamala, S.R. et al., Analysis of wavelet and contour let transform based image watermarking techniques, 2014 IEEE International Advance Computing Conference (IACC), pp.1122-1126, 2014. Search in Google Scholar

9Jin 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, 2013.10.1109/ICWAPR.2013.6599292 Search in Google Scholar

10Mary 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, 2011.10.1109/ICRTIT.2011.5972276 Search in Google Scholar

11G.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. Search in Google Scholar

12Yanmin 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, 2014.10.21307/ijssis-2017-648 Search in Google Scholar

13Daode 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 – 336, 2014.10.21307/ijssis-2017-658 Search in Google Scholar