  This paper reviews the Challenge on Super-Resolution of Compressed Image and
Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the
super-resolution of compressed image, and Track~2 targets the super-resolution
of compressed video. In Track 1, we use the popular dataset DIV2K as the
training, validation and test sets. In Track 2, we propose the LDV 3.0 dataset,
which contains 365 videos, including the LDV 2.0 dataset (335 videos) and 30
additional videos. In this challenge, there are 12 teams and 2 teams that
submitted the final results to Track 1 and Track 2, respectively. The proposed
methods and solutions gauge the state-of-the-art of super-resolution on
compressed image and video. The proposed LDV 3.0 dataset is available at
https://github.com/RenYang-home/LDV_dataset. The homepage of this challenge is
at https://github.com/RenYang-home/AIM22_CompressSR.
