An adversarial learning framework with cross-domain loss for median filtered image restoration and anti-forensics.
Jianyuan WuTianyao TongYifang ChenXiangui KangWei SunPublished in: Comput. Secur. (2022)
Keyphrases
- image restoration
- cross domain
- knowledge transfer
- total variation
- domain adaptation
- cross domain learning
- learning tasks
- edge preserving
- learning algorithm
- markov random field
- active learning
- learning process
- transfer learning
- supervised learning
- reinforcement learning
- image deblurring
- super resolution
- higher order
- regularization parameter
- blurred images
- computational complexity
- blind image restoration