Build a Generative AI based Image Restoration Engine

Image Restoration is the process of converting a noisy/blur/low quality image to a better-quality image in terms of resolution, color, noise, and blur.

Image Restoration techniques involve Deblurring, colorization, super resolution enhancement and other popular techniques as well.

This kit provides the solution for

• Restoring old images to colored images
• Upscale and enhance image resolution

The Image colorization is done by a technique called NoGAN from an open source project called "deoldify". Deoldify is a shading rendering model for images and videos that enables the restoration of native color to black and white photos and videos.

The Image Upscaling and enhancement is done through a technique called GFPGAN which uses Generative Adversarial Networks comprising of Deep learning techniques for Face/Image restoration.

Libraries used in this solution

Development Environment

VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers.

Jupyter Notebook is used for our development.

Machine Learning

Machine learning libraries and frameworks here are helpful in providing state-of-the-art solutions using Machine learning

App User Interface

Kit Solution Source

Support

For any support, you can reach us at OpenWeaver Community Support