AIM 2019 Challenge on RAW to RGB Mapping : Methods and Results
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | 2019 International Conference on Computer Vision, Workshop, ICCV 2019 |
Subtitle of host publication | Proceedings |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 3584-3590 |
ISBN (electronic) | 978-1-7281-5023-9 |
ISBN (print) | 978-1-7281-5024-6 |
Publication status | Published - Oct 2019 |
Publication series
Name | Proceedings - International Conference on Computer Vision Workshop, ICCV |
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ISSN (Print) | 2473-9936 |
ISSN (electronic) | 2473-9944 |
Conference
Title | 17th IEEE/CVF International Conference on Computer Vision (ICCV 2019) |
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Location | COEX Convention Center |
Place | Korea, Republic of |
City | Seoul |
Period | 27 October - 2 November 2019 |
Link(s)
Abstract
This paper reviews the first AIM challenge on mapping camera RAW to RGB images 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 the original low-quality RAW images from the Huawei P20 device to the same photos captured with the Canon 5D DSLR camera. The considered problem embraced a number of computer vision subtasks, such as image demosaicing, denoising, gamma correction, image resolution and sharpness enhancement, etc. The target metric used in this challenge combined fidelity scores (PSNR and SSIM) with solutions' perceptual results measured in a user study. The proposed solutions significantly improved baseline results, defining the state-of-the-art for RAW to RGB image restoration.
Research Area(s)
- AIM, AIM2019, Challenge, Computer vision, Deep learning, Image enhancement, Image manipulation, Mobile cameras, RAW to RGB, Smartphones
Bibliographic Note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).
Citation Format(s)
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. / Ignatov, Andrey; Timofte, Radu; Ko, Sung-Jea et al.
2019 International Conference on Computer Vision, Workshop, ICCV 2019: Proceedings. Institute of Electrical and Electronics Engineers, 2019. p. 3584-3590 9022218 (Proceedings - International Conference on Computer Vision Workshop, ICCV).
2019 International Conference on Computer Vision, Workshop, ICCV 2019: Proceedings. Institute of Electrical and Electronics Engineers, 2019. p. 3584-3590 9022218 (Proceedings - International Conference on Computer Vision Workshop, ICCV).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review