2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

Paper Detail

Paper IDIVMSP-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
SessionIVMSP-19: Deraining and Dehazing
LocationGather.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.