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 …

Image super-resolution is a common task on mobile and IoT devices, where one often needs
to upscale and enhance low-resolution images and video frames. While numerous solutions …

Cameras capture sensor RAW images and transform them into pleasant RGB images,
suitable for the human eyes, using their integrated Image Signal Processor (ISP). Numerous …

Low-light image enhancement (LLIE) has a significant role in edge vision applications
(EVA). Despite its widespread practicability the existing LLIE methods are impractical due to …

Various depth estimation models are now widely used on many mobile and IoT devices for
image segmentation, bokeh effect rendering, object tracking and many other mobile tasks …

The role of mobile cameras increased dramatically over the past few years, leading to more
and more research in automatic image quality enhancement and RAW photo processing. In …

Video super-resolution is one of the most popular tasks on mobile devices, being widely
used for an automatic improvement of low-bitrate and low-resolution video streams. While …

As mobile cameras with compact optics are unable to produce a strong bokeh effect, lots of
interest is now devoted to deep learning-based solutions for this task. In this Mobile AI …

Medical image denoising has numerous real-world applications. Despite their widespread
use, existing medical image denoising methods fail to address complex noise patterns and …

Image restoration tasks incorporate widespread real-world application. Apart from its
significant practicability generic deep image restoration methods still fail to handle complex …