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 IDCIS-1.4
Paper Title GHOST-FREE HDR IMAGING VIA UNROLLING LOW-RANK MATRIX COMPLETION
Authors Truong Thanh Nhat Mai, Dongguk University, Republic of Korea; Edmund Y. Lam, University of Hong Kong, Hong Kong SAR of China; Chul Lee, Dongguk University, Republic of Korea
SessionCIS-1: Computational Imaging Systems
LocationArea J
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Computational Imaging Systems: Computational Photography
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract We propose a ghost-free high dynamic range (HDR) image synthesis algorithm by unrolling low-rank matrix completion. By exploiting the low-rank structure of the irradiance maps from low dynamic range (LDR) images, we formulate ghost-free HDR imaging as a general low-rank matrix completion problem. Then, we solve the problem iteratively using the augmented Lagrange multiplier (ALM) method. At each iteration, the optimization variables are updated by closed-form solutions and the regularizers are updated by learned deep neural networks. Experimental results show that the proposed algorithm provides better image qualities with fewer visual artifacts compared to state-of-the-art algorithms.