Calendar Horizon as a Boundary Affordance: An Attempt-Centric Eye-Tracking Analysis of Calendar Scheduling Interfaces. [PDF]
J Eye Mov ResXie N, Wang Y, Liu Y.
europepmc +1 more source
Deep Learning-Based Image Steganography with Latent Space Embedding and Smart Decoder Selection. [PDF]
Entropy (Basel)Zhou Y, Wang N, Hong X, Peng Y, Shao S.
europepmc +1 more source
High-fidelity steganography in EEG signals using advanced transform-based methods. [PDF]
PeerJ Comput SciEfe E.
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CNN Prediction Based Reversible Data Hiding
IEEE Signal Processing Letters, 2021How to predict images is an important issue in the reversible data hiding (RDH) community. In this letter, we propose a novel CNN-based prediction approach by luminously dividing a grayscale image into two sets and applying one set to predict the other set for data embedding. The proposed CNN predictor is a lightweight and computation-efficient network
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A novel reversible data hiding algorithm, which can recover the original image without any distortion from the marked image after the hidden data have been extracted, is presented in this paper. This algorithm utilizes the zero or the minimum points of the histogram of an image and slightly modifies the pixel grayscale values to embed data into the ...
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Reversible Data Hiding With Hierarchical Block Variable Length Coding for Cloud Security
IEEE Transactions on Dependable and Secure Computing, 2023Reversible data hiding in encrypted images (RDHEI) can serve as a technical solution to secure data in applications that rely on cloud storage. The key features of an RDHEI scheme are reversibility, security, and data embedding rate.
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Reversible Data Hiding in Encrypted Images Based on Time-Varying Huffman Coding Table
IEEE transactions on multimedia, 2023Image privacy protection and management face many challenges, such as privacy disclosure, copyright dispute, and traceability difficulties, with the development of big data. Reversible data hiding in encrypted images (RDHEI) has been widely considered as
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Matrix-Based Secret Sharing for Reversible Data Hiding in Encrypted Images
IEEE Transactions on Dependable and Secure Computing, 2023Traditional schemes for reversible data hiding in encrypted images (RDH-EI) focus on one data hider and cannot resist the single point of failure. Besides, the image security is determined by one party, rather than multiple parties.
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Reversible Data Hiding in Shared Images Based on Syndrome Decoding and Homomorphism
IEEE Transactions on Cloud Computing, 2023Reversible Data Hiding in Encrypted Images (RDHEI) has drawn increasing concern in multimedia cloud computing scenarios. It embeds secret message into the encrypted carrier while preserving the confidentiality of the image.
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General Framework to Reversible Data Hiding for JPEG Images With Multiple Two-Dimensional Histograms
IEEE transactions on multimedia, 2023In this paper, a general reversible data hiding (RDH) framework for joint photographic experts group (JPEG) images with multiple two dimensional histograms (2DHs) is proposed.
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