| Paper ID | IVMSP-19.3 |
| Paper Title |
Dense Feature Pyramid Grids Network for Single Image Deraining |
| Authors |
Zhen Wang, Dalian University of Technology, China; Cong Wang, The Hong Kong Polytechnic University, China; Zhixun Su, Dalian University of Technology, China; Junyang Chen, Shenzhen University, China |
| Session | IVMSP-19: Deraining and Dehazing |
| Location | Gather.Town |
| Session Time: | Thursday, 10 June, 13:00 - 13:45 |
| Presentation Time: | Thursday, 10 June, 13:00 - 13:45 |
| Presentation |
Poster
|
| Topic |
Image, Video, and Multidimensional Signal Processing: [IVCOM] Image & Video Communications |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
Rainy images degrade the visional performance that may bring down the accuracy of various applications. In this paper, we propose a novel densely connected network with Dense Feature Pyramid Grids Modules, called DFPGN, to solve the rain removal task. Specifically, in the proposed DFPG, there are five operations from different layers with various pathways and scales as the input of the current layer so that each layer can fuse various features from shallower and deeper ones to improve the deraining ability of the network. Extensive experiments on real and synthetic rainy images are conducted to demonstrate the proposed method achieves superior rain removal performance over state-of-the-art approaches. |
