Deep Joint Rain Detection and Removal from a Single Image
Peking University · National University of Singapore · +2 more institutions
Abstract
In this paper, we address a rain removal problem from a single image, even in the presence of heavy rain and rain streak accumulation. Our core ideas lie in our new rain image model and new deep learning architecture. We add a binary map that provides rain streak locations to an existing model, which comprises a rain streak layer and a background layer. We create a model consisting of a component representing rain streak accumulation (where individual streaks cannot be seen, and thus visually similar to mist or fog), and another component representing various shapes and directions of overlapping rain streaks, which usually happen in heavy rain. Based on the model, we develop a multi-task deep learning…
Citation impact
- FWCI
- 28.00
- Percentile
- 100%
- References
- 53
Authors
6Topics & keywords
- Streak
- Mist
- Computer science
- Binary number
- Pixel
- Image (mathematics)
- Artificial intelligence
- Deep learning
- Sustainable cities and communities