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.
@article{arxiv.2005.03155,
title = {NTIRE 2020 Challenge on Image Demoireing: Methods and Results},
author = {Shanxin Yuan and Radu Timofte and Ales Leonardis and Gregory Slabaugh and Xiaotong Luo and Jiangtao Zhang and Yanyun Qu and Ming Hong and Yuan Xie and Cuihua Li and Dejia Xu and Yihao Chu and Qingyan Sun and Shuai Liu and Ziyao Zong and Nan Nan and Chenghua Li and Sangmin Kim and Hyungjoon Nam and Jisu Kim and Jechang Jeong and Manri Cheon and Sung-Jun Yoon and Byungyeon Kang and Junwoo Lee and Bolun Zheng and Xiaohong Liu and Linhui Dai and Jun Chen and Xi Cheng and Zhenyong Fu and Jian Yang and Chul Lee and An Gia Vien and Hyunkook Park and Sabari Nathan and M. Parisa Beham and S Mohamed Mansoor Roomi and Florian Lemarchand and Maxime Pelcat and Erwan Nogues and Densen Puthussery and Hrishikesh P S and Jiji C and Ashish Sinha and Xuan Zhao},
journal= {arXiv preprint arXiv:2005.03155},
year = {2020}
}