Open Access
ARTICLE
A Meaningful Image Encryption Algorithm Based on Prediction Error and Wavelet Transform
Mengling Zou1, Zhengxuan Liu2, Xianyi Chen3, *
1 School of Computer and Software Nanjing University of Information Science & Technology, Nanjing, China.
* Corresponding Author: Xianyi Chen. Email: .
Journal on Big Data 2019, 1(3), 151-158. https://doi.org/10.32604/jbd.2019.09057
Abstract
Image encryption (IE) is a very useful and popular technology to protect the
privacy of users. Most algorithms usually encrypt the original image into an image
similar to texture or noise, but texture and noise are an obvious visual indication that the
image has been encrypted, which is more likely to cause the attacks of enemy. To
overcome this shortcoming, many image encryption systems, which convert the original
image into a carrier image with visual significance have been proposed. However, the
generated cryptographic image still has texture features. In line with the idea of
improving the visual quality of the final password images, we proposed a meaningful
image hiding algorithm based on prediction error and discrete wavelet transform. Lots of
experimental results and safety analysis show that the proposed algorithm can achieve
high visual quality and ensure the security at the same time.
Keywords
Cite This Article
M. Zou, Z. Liu and X. Chen, "A meaningful image encryption algorithm based on prediction error and wavelet transform,"
Journal on Big Data, vol. 1, no.3, pp. 151–158, 2019. https://doi.org/10.32604/jbd.2019.09057