Deep Hybrid Scattering Image Learning

19 Sep 2018Mu YangZheng-Hao LiuZe-Di ChengJin-Shi XuChuan-Feng LiGuang-Can Guo

A well-trained deep neural network is shown to gain capability of simultaneously restoring two kinds of images, which are completely destroyed by two distinct scattering medias respectively. The network, based on the U-net architecture, can be trained by blended dataset of speckles-reference images pairs... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.