NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
Creators: name: Pérez-Pellitero, Eduardo
name: Catley-Chandar, Sibi
name: Shaw, Richard
name: Leonardis, Aleš
name: Timofte, Radu
name: Zhang, Zexin
name: Liu, Cen
name: Peng, Yunbo
name: Lin, Yue
name: Yu, Gaocheng
name: Zhang, Jin
name: Ma, Zhe
name: Wang, Hongbin
name: Chen, Xiangyu
name: Wang, Xintao
name: Wu, Haiwei
name: Liu, Lin
name: Dong, Chao
name: Zhou, Jiantao
name: Yan, Qingsen
name: Zhang, Song
name: Chen, Weiye
name: Liu, Yuhang
name: Zhang, Zhen
name: Zhang, Yanning
name: Shi, Javen Qinfeng
name: Gong, Dong
name: Zhu, Dan
name: Sun, Mengdi
name: Chen, Guannan
name: Hu, Yang
name: Li, Haowei
name: Zou, Baozhu
name: Liu, Zhen
name: Lin, Wenjie
name: Jiang, Ting
name: Jiang, Chengzhi
name: Li, Xinpeng
name: Han, Mingyan
name: Fan, Haoqiang
name: Sun, Jian
name: Liu, Shuaicheng
name: Marín-Vega, Juan
name: Sloth, Michael
name: Schneider-Kamp, Peter
name: Röttger, Richard
name: Li, Chunyang
name: Bao, Long
name: He, Gang
name: Xu, Ziyao
name: Xu, Li
name: Zhan, Gen
name: Sun, Ming
name: Wen, Xing
name: Li, Junlin
name: Li, Jinjing
name: Li, Chenghua
name: Gang, Ruipeng
name: Li, Fangya
name: Liu, Chenming
name: Feng, Shuang
name: Lei, Fei
name: Liu, Rui
name: Ruan, Junxiang
name: Dai, Tianhong
name: Li, Wei
name: Lu, Zhan
name: Liu, Hengyan
name: Huang, Peian
name: Ren, Guangyu
name: Luo, Yonglin
name: Liu, Chang
name: Tu, Qiang
name: Li, Fangya
name: Gang, Ruipeng
name: Li, Chenghua
name: Li, Jinjing
name: Ma, Sai
name: Liu, Chenming
name: Cao, Yizhen
name: Tel, Steven
name: Heyrman, Barthelemy
name: Ginhac, Dominique
name: Lee, Chul
name: Kim, Gahyeon
name: Park, Seonghyun
name: Vien, An Gia
name: Mai, Truong Thanh Nhat
name: Yoon, Howoon
name: Vo, Tu
name: Holston, Alexander
name: Zaheer, Sheir
name: Park, Chan Y.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2022. This manuscript focuses on the competition set-up, datasets, the proposed methods and their results. The challenge aims at estimating an HDR image from multiple respective low dynamic range (LDR) observations, which might suffer from under- or over-exposed regions and different sources of noise. The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i.e. solutions can not exceed a given number of operations). In Track 2, participants are asked to minimize the complexity of their solutions while imposing a constraint on fidelity scores (i.e. solutions are required to obtain a higher fidelity score than the prescribed baseline). Both tracks use the same data and metrics: Fidelity is measured by means of PSNR with respect to a ground-truth HDR image (computed both directly and with a canonical tonemapping operation), while complexity metrics include the number of Multiply-Accumulate (MAC) operations and runtime (in seconds).
description: CVPR Workshops 2022. 15 pages, 21 figures, 2 tables