A visually secure image encryption method based on integer wavelet transform and rhombus prediction

Xianyi Chen; Mengling Zou; Bin Yang; Zhenli Wang; Nannan Wu; Lili Qi; Xianyi Chen; Mengling Zou; Bin Yang; Zhenli Wang; Nannan Wu; Lili Qi

doi:10.3934/mbe.2021089

Mathematical Biosciences and Engineering

2021, Volume 18, Issue 2: 1722-1739. doi: 10.3934/mbe.2021089

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A visually secure image encryption method based on integer wavelet transform and rhombus prediction

1.
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China
2.
Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, China
3.
School of Design, Jiangnan University, Wuxi 214028, China
4.
Computer Information and Network Security Department, Jiangsu Police Institute, Nanjing 210031, China
5.
School of Computer Engineering, Weifang University, Weifang 261061, China

Received: 25 October 2020 Accepted: 28 January 2021 Published: 07 February 2021

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.
- image encryption,
- visually meaningful,
- discrete wavelet transform,
- rhombus prediction
Citation: Xianyi Chen, Mengling Zou, Bin Yang, Zhenli Wang, Nannan Wu, Lili Qi. A visually secure image encryption method based on integer wavelet transform and rhombus prediction[J]. Mathematical Biosciences and Engineering, 2021, 18(2): 1722-1739. doi: 10.3934/mbe.2021089

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Abstract

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.

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