Single-pixel imaging (SPI) enables an invisible target to be imaged onto a photosensitive surface without a lens, emerging as a promising way for indirect optical encryption. However, due to its linear and broadcast imaging principles, SPI encryption has been confined to a single-user framework for the long term. We propose a multi-image SPI encryption method and combine it with orthogonal frequency division multiplexing-assisted key management, to achieve a multiuser SPI encryption and authentication framework. Multiple images are first encrypted as a composite intensity sequence containing the plaintexts and authentication information, simultaneously generating different sets of keys for users. Then, the SPI keys for encryption and authentication are asymmetrically isolated into independent frequency carriers and encapsulated into a Malus metasurface, so as to establish an individually private and content-independent channel for each user. Users can receive different plaintexts privately and verify the authenticity, eliminating the broadcast transparency of SPI encryption. The improved linear security is also verified by simulating attacks. By the combination of direct key management and indirect image encryption, our work achieves the encryption and authentication functionality under a multiuser computational imaging framework, facilitating its application in optical communication, imaging, and security.
Image steganography is one way of data hiding which provides data security in digital images. The aim is to embed and deliver secret data in digital images without any suspiciousness. However, most of the existing optical image hiding methods ignore the visual quality of the stego-image for improving the robustness of the secret image. To address this issue, in this paper, we present a Region of Non-Interest (RONI) steganographic algorithm to enhance the visual quality of the stego-image. In the proposed method, the carrier image is segmented into Region of Interest (ROI) and RONI. To enhance the visual quality, the 3D image information is embedded into the RONI of the digital images. In order to find appropriate regions for embedding, we use a visual attention model as a means of measuring the ROI of the digital images. The algorithm employs the computational integral imaging (CII) technique to hide the 3D scene in the carrier image. Comparison results show that the proposed technique performs better than some existing state of art techniques.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.