NTIRE 2020 Challenge on Image Demoireing: Methods and Results
- URL: http://arxiv.org/abs/2005.03155v1
- Date: Wed, 6 May 2020 22:05:58 GMT
- Title: NTIRE 2020 Challenge on Image Demoireing: Methods and Results
- Authors: Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory Slabaugh, Xiaotong
Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu,
Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin
Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon,
Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen,
Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, An Gia Vien, Hyunkook Park,
Sabari Nathan, M.Parisa Beham, S Mohamed Mansoor Roomi, Florian Lemarchand,
Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P S, Jiji C V,
Ashish Sinha, Xuan Zhao
- Abstract summary: The challenge was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020.
The methods were ranked in terms of their fidelity, measured using the peak signal-to-noise ratio (PSNR) between the ground truth clean images and the restored images produced by the participants' methods.
- Score: 111.72904895149804
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This paper reviews the Challenge on Image Demoireing that was part of the New
Trends in Image Restoration and Enhancement (NTIRE) workshop, held in
conjunction with CVPR 2020. Demoireing is a difficult task of removing moire
patterns from an image to reveal an underlying clean image. The challenge was
divided into two tracks. Track 1 targeted the single image demoireing problem,
which seeks to remove moire patterns from a single image. Track 2 focused on
the burst demoireing problem, where a set of degraded moire images of the same
scene were provided as input, with the goal of producing a single demoired
image as output. The methods were ranked in terms of their fidelity, measured
using the peak signal-to-noise ratio (PSNR) between the ground truth clean
images and the restored images produced by the participants' methods. The
tracks had 142 and 99 registered participants, respectively, with a total of 14
and 6 submissions in the final testing stage. The entries span the current
state-of-the-art in image and burst image demoireing problems.
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