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NTIRE 2019 challenge on image enhancement: Methods and results

Authors :
Ling Shao
Liang Lin
Flavio Piccoli
Xingguang Zhou
Dongwon Park
Syed Waqas Zamir
Lai-Kuan Wong
Greg Shakhnarovich
Cheolkon Jung
Hongzhi Zhang
Andrey Ignatov
Xiaochao Qu
Pengxu Wei
Zhiwei Zhong
Zheng Hui
Kazutoshi Akita
Jinghui Qin
Xinbo Gao
Pablo Navarrete Michelini
Wushao Wen
Jingdong Liu
Radu Timofte
Jie Liu
Jiye Liu
Salman Khan
Norimichi Ukita
Hanwen Liu
Wangmeng Zuo
Muhammad Haris
Yukai Shi
Debin Zhao
Fahad Shahbaz Khan
Pengfei Wan
Ganapathy Krishnamurthi
Xianming Liu
Se Young Chun
Simone Bianco
Tomoki Yoshida
Ting Liu
Xiumei Wang
Kai Zhang
Junjun Jiang
Claudio Cusano
John See
Nelson Chong Ngee Bow
Lishan Huang
Pengju Liu
Raimondo Schettini
Mahendra Khened
Kanti Kumari
Aditya Arora
Vikas Kumar Anand
Dan Zhu
Ignatov, A
Timofte, R
Qu, X
Zhou, X
Liu, T
Wan, P
Zamir, S
Arora, A
Khan, S
Khan, F
Shao, L
Park, D
Chun, S
Michelini, P
Liu, H
Zhu, D
Zhong, Z
Liu, X
Jiang, J
Zhao, D
Haris, M
Akita, K
Yoshida, T
Shakhnarovich, G
Ukita, N
Liu, J
Jung, C
Schettini, R
Bianco, S
Cusano, C
Piccoli, F
Liu, P
Zhang, K
Zhang, H
Zuo, W
Bow, N
Wong, L
See, J
Qin, J
Huang, L
Shi, Y
Wei, P
Wen, W
Lin, L
Hui, Z
Wang, X
Gao, X
Kumari, K
Anand, V
Khened, M
Krishnamurthi, G
Source :
CVPR Workshops
Publication Year :
2019
Publisher :
IEEE Computer Society, 2019.

Abstract

This paper reviews the first NTIRE challenge on perceptual image enhancement with the focus on proposed solutions and results. The participating teams were solving a real-world photo enhancement problem, where the goal was to map low-quality photos from the iPhone 3GS device to the same photos captured with Canon 70D DSLR camera. The considered problem embraced a number of computer vision subtasks, such as image denoising, image resolution and sharpness enhancement, image color/contrast/exposure adjustment, etc. The target metric used in this challenge combined PSNR and SSIM scores with solutions' perceptual results measured in the user study. The proposed solutions significantly improved baseline results, defining the state-of-the-art for practical image enhancement.

Details

Language :
English
Database :
OpenAIRE
Journal :
CVPR Workshops
Accession number :
edsair.doi.dedup.....5b3abf4e1c885bf3c2ca6018567756ab