Login Paper Search My Schedule Paper Index Help

My ICIP 2021 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Paper Detail

Paper IDTEC-2.6
Paper Title UNPAIRED NIGHT-TO-DAY TRANSLATION: IMAGE RESTORATION AND STYLE TRANSFER UNDER LOW ILLUMINATION
Authors Haoling Li, Yuanyuan Chen, Sichuan University, China
SessionTEC-2: Restoration and Enhancement 2
LocationArea G
Session Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Poster
Topic Image and Video Processing: Restoration and enhancement
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract The faint vision at low illumination affects the performance of intelligent surveillance systems and induces criminals to sin under the cover of darkness. Night-to-day translation is an ideal way to handle this problem, but hard to achieve due to the lack of information at night. We propose a novel approach that combines DCGAN(deep convolutional generative adversarial network) and image processing algorithms to find out the mapping from night to day. Images from night domain are enhanced with MSRCP(multi-scale retinex with chromaticity preservation) algorithm before they're put into DCGAN to generate bright and clear daylight images without paired supervision. At the same time emerging issues of image atomization and local over-exposure are handled to ensure the quality of output. The experimental results show that our approach can be applied to different conditions and dig out sensitive information from the darkness.