A Python implementation of blind Richardson-Lucy deconvolution
Project description
pyBlindRL
This repository implements blind Richardson-Lucy deconvolution [1] using a PyTorch-based pipeline.
[1] D. A. Fish, A. M. Brinicombe, E. R. Pike, and J. G. Walker, "Blind deconvolution by means of the Richardson–Lucy algorithm," J. Opt. Soc. Am. A 12, 58-65 (1995).
Template Citation
This project's layout and CI are based on the great Python project template provided by Microsoft.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyblindrl-0.1.2rc105.post1.tar.gz
(19.6 kB
view hashes)
Built Distribution
Close
Hashes for pyblindrl-0.1.2rc105.post1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 01684addc67253ddc731a406bae4038fd1c54e33d8e1cbbb6377181badad7456 |
|
MD5 | b28a9691eae204ea697b7118aa9607d4 |
|
BLAKE2b-256 | 580f6fd5fedb7d4e66391f988f6ea55a78fc1d9ad9fa799f9fa962bda5213655 |
Close
Hashes for pyblindrl-0.1.2rc105.post1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 809da563d056d0c5e4f0fba6bb8c58425e3747a914344967f0bc3fc53ed7e5ae |
|
MD5 | 4bf05cf3b85183a6eec66683968113d9 |
|
BLAKE2b-256 | 2dc425f3ea70032a49652e768680a9eec3dba04eea17f1181b60b876cc3164a8 |