Low resolution
Small or low-resolution images hide detail.
AI Super-Resolution & Image Restoration
We applied super-resolution, denoising and restoration methods using generative and computer-vision techniques to improve low-quality images for analytical and visual work.

What stood in the way.
Low-quality imagery limits how useful images are in analytical and visual workflows.
Small or low-resolution images hide detail.
Noise obscures what is in the image.
Degraded images need restoring before they can be used.
How we answered it.
We applied super-resolution, denoising and restoration methods using generative and computer-vision techniques, including GANs and diffusion models.
The parts that made the difference.
Images are upscaled to recover detail.
Noise is removed from images.
Degraded images are restored using generative techniques.
What changed for the client.
The work improves the visual quality of low-quality images.
What it was built with.
Part of our AI and machine learning work.
Related projects.
The next big thing starts with a conversation.
An idea, a challenge, a “what if”. Tell us what you have in mind, and we’ll figure out the next step together.
What happens next
Find us on