Title: Research on reversible information hiding in image encryption domain based on multilayer perceptron

Authors: Zhiqiang Yue; Weijia Chai

Addresses: Academy of Fine Arts, Jiaozuo Normal College, Jiaozuo 454100, Henan Province, China ' Admission and Employment Office, Jiaozuo Normal College, Jiaozuo 454100, Henan Province, China

Abstract: To solve the problems of large mean square error, low peak signal-to-noise (PSNR) ratio and low embedding rate of traditional methods, a reversible information hiding in image encryption domain based on multilayer perceptron is proposed. Image blocks are encrypted sequentially, and the encrypted information is embedded into the image to complete the construction of the image encryption domain. Reversible information in the image encryption domain is extracted, the weight of the extracted information is calculated by multilayer perceptron, and the sender and receiver models are built according to the calculation results. Reversible information hiding in the image encryption domain is realised by using these two models. Experimental results show that the maximum and minimum mean square error of the encrypted image and the original image are 0.254 and 0.482 respectively, the maximum and minimum PSNR ratio are 56dB and 50dB respectively, and embedding rate is always above 91%.

Keywords: multilayer perceptron; images; encrypted domain; reversible information hiding; dimensionality reduction; sender model; receiver model.

DOI: 10.1504/IJICT.2024.140306

International Journal of Information and Communication Technology, 2024 Vol.25 No.2, pp.137 - 149

Received: 07 Mar 2022
Accepted: 02 Jun 2022
Published online: 02 Aug 2024 *

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