  This paper reviews the NTIRE 2020 challenge on real image denoising with
focus on the newly introduced dataset, the proposed methods and their results.
The challenge is a new version of the previous NTIRE 2019 challenge on real
image denoising that was based on the SIDD benchmark. This challenge is based
on a newly collected validation and testing image datasets, and hence, named
SIDD+. This challenge has two tracks for quantitatively evaluating image
denoising performance in (1) the Bayer-pattern rawRGB and (2) the standard RGB
(sRGB) color spaces. Each track ~250 registered participants. A total of 22
teams, proposing 24 methods, competed in the final phase of the challenge. The
proposed methods by the participating teams represent the current
state-of-the-art performance in image denoising targeting real noisy images.
The newly collected SIDD+ datasets are publicly available at:
https://bit.ly/siddplus_data.
