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.
Original language | English |
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Title of host publication | 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
Publisher | IEEE |
Pages | 2224-2232 |
Number of pages | 9 |
ISBN (Electronic) | 9781728125060 |
DOIs | |
Publication status | Published - 9 Apr 2020 |
Event | 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2019 - Long Beach, United States Duration: 16 Jun 2019 → 20 Jun 2019 |
Conference
Conference | 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2019 |
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Abbreviated title | CVPRW 2019 |
Country/Territory | United States |
City | Long Beach |
Period | 16/06/19 → 20/06/19 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering