Search Results for author: Sisheng Chen

Found 2 papers, 0 papers with code

On the predictability in reversible steganography

no code implementations5 Feb 2022 Ching-Chun Chang, Xu Wang, Sisheng Chen, Hitoshi Kiya, Isao Echizen

The core strength of neural networks is the ability to render accurate predictions for a bewildering variety of data.

Deep Learning for Predictive Analytics in Reversible Steganography

no code implementations13 Jun 2021 Ching-Chun Chang, Xu Wang, Sisheng Chen, Isao Echizen, Victor Sanchez, Chang-Tsun Li

Given that reversibility is governed independently by the coding module, we narrow our focus to the incorporation of neural networks into the analytics module, which serves the purpose of predicting pixel intensities and a pivotal role in determining capacity and imperceptibility.

Cannot find the paper you are looking for? You can Submit a new open access paper.