  This paper reviews the first-ever image demoireing challenge that was part of
the Advances in Image Manipulation (AIM) workshop, held in conjunction with
ICCV 2019. This paper describes the challenge, and focuses on the proposed
solutions and their results. Demoireing is a difficult task of removing moire
patterns from an image to reveal an underlying clean image. A new dataset,
called LCDMoire was created for this challenge, and consists of 10,200
synthetically generated image pairs (moire and clean ground truth). The
challenge was divided into 2 tracks. Track 1 targeted fidelity, measuring the
ability of demoire methods to obtain a moire-free image compared with the
ground truth, while Track 2 examined the perceptual quality of demoire methods.
The tracks had 60 and 39 registered participants, respectively. A total of
eight teams competed in the final testing phase. The entries span the current
the state-of-the-art in the image demoireing problem.
