DeconvRL is a open source CUDA implementation of accelerated Richard-Lucy Deconvolution algorithm regularized with total variation loss. This library is developed to recovered blurred image due to the spreading of point source in optical system. As far as we know, there is no other fully functional open source GPU accelerated implementation. This project is aim to develope an open source, high efficient library to process high resolution images of high quality.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
You need the following packages to get started.
*nix
make
g++ <= 5
CMake >= 3.6
Boost >= 1.59
CUDA >= 8.0
Windows
A step by step series of examples that tell you have to get a development env running
Say what the step will be
Give the example
And repeat
until finished
End with an example of getting some data out of the system or using it for a little demo
Explain how to run the automated tests for this system
Explain what these tests test and why
Give an example
Explain what these tests test and why
Give an example
Add additional notes about how to deploy this on a live system
- Dropwizard - The web framework used
- Maven - Dependency Management
- ROME - Used to generate RSS Feeds
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning. For the versions available, see the tags on this repository.
- John Doe - Initial work - JohnDoe
See also the list of contributors who participated in this project.
This project is licensed under the Apache License - see the LICENSE file for details
- Hat tip to anyone who's code was used
- Inspiration
- etc