• Corpus ID: 237454617

IICNet: A Generic Framework for Reversible Image Conversion

@article{Cheng2021IICNetAG,
  title={IICNet: A Generic Framework for Reversible Image Conversion},
  author={Ka Leong Cheng and Yueqi Xie and Qifeng Chen},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.04242}
}
Reversible image conversion (RIC) aims to build a reversible transformation between specific visual content (e.g., short videos) and an embedding image, where the original content can be restored from the embedding when necessary. This work develops Invertible Image Conversion Net (IICNet) as a generic solution to various RIC tasks due to its strong capacity and task-independent design. Unlike previous encoder-decoder based methods, IICNet maintains a highly invertible structure based on… 
A Compact Neural Network-based Algorithm for Robust Image Watermarking
  • Hong-Bo Xu, Rong Wang, Jia Wei, Shao-Ping Lu
  • Computer Science
    ArXiv
  • 2021
TLDR
A simple but effective bit message normalization module to condense the bit message to be embedded, and a noise layer is designed to simulate various practical attacks under the IWN framework to enhance the robustness of the watermarking solution.

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