Multistage Feature Complimentary Network for Single-Image Deraining. (16th December 2021)
- Record Type:
- Journal Article
- Title:
- Multistage Feature Complimentary Network for Single-Image Deraining. (16th December 2021)
- Main Title:
- Multistage Feature Complimentary Network for Single-Image Deraining
- Authors:
- Wang, Kangying
Wang, Minghui - Other Names:
- Xia Kaijian Academic Editor.
- Abstract:
- Abstract : Rain will cause the occlusion and blur of background and target objects and affect the image visual effect and subsequent image analysis. Aiming at the problem of insufficient rain removal in the current rain removal algorithm, in order to improve the accuracy of computer vision algorithm in the process of rain removal, this paper proposes a multistage framework based on progressive restoration combined with recurrent neural network and feature complementarity technology to remove rain streak from single images. Firstly, the encoder-decoder subnetwork is adapted to learn multiscale information and extract richer rain features. Secondly, the original resolution image restored by decoder is used to preserve refined image details. Finally, we use the effective information of the previous stage to guide the rain removal of the next stage by the recurrent neural network. The final experimental results show that a multistage feature complementarity network performs well on both synthetic rainy data sets and real-world rainy data sets can remove rain more completely, preserve more background details, and achieve better visual effects compared with some popular single-image deraining methods.
- Is Part Of:
- Journal of robotics. Volume 2021(2021)
- Journal:
- Journal of robotics
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-12-16
- Subjects:
- Robotics -- Periodicals
Robotics
Periodicals
629.892 - Journal URLs:
- https://www.hindawi.com/journals/jr/ ↗
- DOI:
- 10.1155/2021/8363940 ↗
- Languages:
- English
- ISSNs:
- 1687-9600
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 20550.xml