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 >

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
Build Securely on AWS with Proven Frameworks Icon
Build Securely on AWS with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
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