文献类型：期刊文献

英文题名：Visual image hiding algorithm based on restricted Boltzmann machine and compressed sensing

作者：Ye, Guodong[1];Qiao, Linhao[1];Dai, Ming[1];Huang, Xiaoling[1]

机构：[1]Guangdong Ocean Univ, Fac Math & Comp Sci, Zhanjiang 524088, Peoples R China

年份：2025

外文期刊名：NONLINEAR DYNAMICS

收录：SCI-EXPANDED(收录号：WOS:001482101000001)、、EI(收录号：20251918377477)、Scopus(收录号：2-s2.0-105004354259)、WOS

基金：This work was supported in part by the Guangdong Basic and Applied Basics Research Foundation (No. 2023A1515011207), the Special Project in Key Area of General University in Guangdong Province of China (No. 2020ZDZX3064), the Innovation Team Project of General University in Guangdong Province of China (No. 2024KCXTD042), and the Postgraduate Education Innovation Project of Guangdong Ocean University of China. Thank you again for the Editor and Reviewers offering us an opportunity to further improve our manuscript.

语种：英文

外文关键词：Compressed sensing; Restricted Boltzmann machine; Random dynamic embedding; Rotation scrambling; Image hiding

外文摘要：Recently, image encryption methods using compressed sensing (CS) technology for visual security have gained widespread attention. These schemes simultaneously encrypt and compress the plain image at one time, and then embed the encrypted image into a new carrier image (i.e., cover image), making the secret cipher image better be concealed in a visually secure manner. However, considering reconstruction quality and embedding efficiency, new hiding algorithm should still be studied further for improvement. To address these problems, a visual image hiding algorithm is presented in this paper, i.e., ViIHA. First, a pseudo-random sequence generation method using restricted Boltzmann machine is designed to improve the randomness of keystream. Second, a measurement matrix and a parallel CS technique are constructed to enhance execution efficiency. Next, a random dynamic embedding strategy is proposed to improve data embedding capacity while ensuring the visual quality for cover image. Finally, simulation experiments show that ViIHA has high security and strong robustness. Compared with some current algorithms, the proposed ViIHA can achieve a better quality for both reconstructed image and cover image, demonstrating a good performance.