Abstract
This paper reviews the NTIRE 2019 challenge on real image denoising with focus on the proposed methods and their results. The challenge has two tracks for quantitatively evaluating image denoising performance in (1) the Bayer-pattern raw-RGB and (2) the standard RGB (sRGB) color spaces. The tracks had 216 and 220 registered participants, respectively. A total of 15 teams, proposing 17 methods, competed in the final phase of the challenge. The proposed methods by the 15 teams represent the current state-of-the-art performance in image denoising targeting real noisy images.
Original language | English |
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Title of host publication | Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 |
Publisher | IEEE Computer Society |
Pages | 2197-2210 |
Number of pages | 14 |
ISBN (Electronic) | 9781728125060 |
DOIs | |
Publication status | Published - 2019 Jun |
Externally published | Yes |
Event | 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 - Long Beach, United States Duration: 2019 Jun 16 → 2019 Jun 20 |
Publication series
Name | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
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Volume | 2019-June |
ISSN (Print) | 2160-7508 |
ISSN (Electronic) | 2160-7516 |
Conference
Conference | 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 |
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Country/Territory | United States |
City | Long Beach |
Period | 19/6/16 → 19/6/20 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering