Paper ID | CIS-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 | ||
Session | CIS-1: Computational Imaging Systems | ||
Location | Area 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. |