Open AccessA visually secure image encryption method based on integer wavelet transform and rhombus prediction
Author(s) -
Xianyi Chen,
Mengling Zou,
Bin Yang,
Zhenli Wang,
Nannan Wu,
Lili Qi
Publication year - 2021
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2021089
Subject(s) - encryption , computer science , image (mathematics) , artificial intelligence , computer vision , pixel , integer (computer science) , image quality , wavelet transform , noise (video) , visual cryptography , wavelet , cryptography , algorithm , theoretical computer science , computer security , programming language , secret sharing
Traditional image encryption technology usually encrypts a normal image into a noise matrix, which can protect the image in a certain extent, but noise appearance is easy to arouse the suspicion of attackers. To avoid this problem, a method of encrypting image into carrier image with visual meaning is proposed. Inspired by the existing visually secure encryption technique, we proposed an improved method based on the integer wavelet transform (IWT) and prediction scheme. The secret image is hidden in the high frequency coefficients of IWT to achieve good invisibility, and prediction error are used to replace the pixels of the carrier image to improve the final image quality. Experimental results and analysis show that the quality of the encrypted image is 3.5 dB better than that of the previous ones.