TRIOS - Training Image Operators from Samples is a set of tools to bring Image Processing closer to scientists in general. It is capable of estimating an operator between two images using only pairs of samples that contain an input image and the desired output. The operator is saved to a file and can be applied to any image.

Project Activity

See All Activity >

Categories

Graphics, Machine Learning, Image Processing

License

GNU General Public License version 3.0 (GPLv3)

Follow Training Image Operators from Samples

Training Image Operators from Samples Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Training Image Operators from Samples!

Additional Project Details

Intended Audience

Engineering, Information Technology, Science/Research

Programming Language

C, Python

Related Categories

Python Graphics Software, Python Machine Learning Software, Python Image Processing Software, C Graphics Software, C Machine Learning Software, C Image Processing Software

Registered

2012-05-20
Report inappropriate content