Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms

Author:

Ma Rui1,Guo Mengxi2,Hou Yi1,Yang Fan1,Li Yuan1,Jia Huizhu1,Xie Xiaodong1

Affiliation:

1. Peking University, Beijing, China

2. Bytedance Inc., Shanghai, China

Funder

National Key R&D Program of China

National Science Foundation of China

Publisher

ACM

Reference51 articles.

1. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

2. Mahdi Ahmadi , Alireza Norouzi , Nader Karimi , Shadrokh Samavi , and Ali Emami . 2020. ReDMark: Framework for residual diffusion watermarking based on deep networks. Expert Systems with Applications ( 2020 ), 113157. Mahdi Ahmadi, Alireza Norouzi, Nader Karimi, Shadrokh Samavi, and Ali Emami. 2020. ReDMark: Framework for residual diffusion watermarking based on deep networks. Expert Systems with Applications (2020), 113157.

3. Text-image watermarking based on integer wavelet transform (IWT) and discrete cosine transform (DCT)

4. Lynton Ardizzone , Jakob Kruse , Sebastian Wirkert , Daniel Rahner , Eric W Pellegrini , Ralf S Klessen , Lena Maier-Hein , Carsten Rother , and Ullrich Köthe . 2018. Analyzing inverse problems with invertible neural networks. arXiv preprint arXiv:1808.04730 ( 2018 ). Lynton Ardizzone, Jakob Kruse, Sebastian Wirkert, Daniel Rahner, Eric W Pellegrini, Ralf S Klessen, Lena Maier-Hein, Carsten Rother, and Ullrich Köthe. 2018. Analyzing inverse problems with invertible neural networks. arXiv preprint arXiv:1808.04730 (2018).

5. Lynton Ardizzone , Carsten Lüth , Jakob Kruse , Carsten Rother , and Ullrich Köthe . 2019. Guided image generation with conditional invertible neural networks. arXiv preprint arXiv:1907.02392 ( 2019 ). Lynton Ardizzone, Carsten Lüth, Jakob Kruse, Carsten Rother, and Ullrich Köthe. 2019. Guided image generation with conditional invertible neural networks. arXiv preprint arXiv:1907.02392 (2019).

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