@Article{jbd.2019.09057,
AUTHOR = {Mengling Zou, Zhengxuan Liu, Xianyi Chen},
TITLE = {A Meaningful Image Encryption Algorithm Based on Prediction  Error and Wavelet Transform},
JOURNAL = {Journal on Big Data},
VOLUME = {1},
YEAR = {2019},
NUMBER = {3},
PAGES = {151--158},
URL = {http://www.techscience.com/jbd/v1n3/38306},
ISSN = {2579-0056},
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.},
DOI = {10.32604/jbd.2019.09057}
}