In this paper, a transform domain information hiding algorithm with visual security based on compressed sensing (CS) is proposed. To increase the security, an improved coupled map lattices is used for keystream and measurement matrix generation. To save the storage space, the semi-tensor product is applied to the measurement matrix. Using the image transform domain property, the compressed and encrypted image to be hidden is embedded into the high-frequency part of the carrier image through mathematical operations, and then the carrier image is inverted to finally form a visually secure image. Simulation results and performance analysis show that the designed information hiding scheme has better hiding effect and high security.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.