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-0.1.2rc82.post1.tar.gz
(19.5 kB
view hashes)
Built Distribution
Close
Hashes for pyblindrl-0.1.2rc82.post1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | c39665719f7d454e08568f1cb481b733726bb13197d2837d15f31708c27aef4c |
|
MD5 | 13ad75b97b2257b9e9e19b0f575977ba |
|
BLAKE2b-256 | 773de8e97297dbe269ee2751128900c4b5e96622d6a95e9decf19fdd9aac993e |
Close
Hashes for pyblindrl-0.1.2rc82.post1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e3b55f31feb3e0f27edc1747e9e7627c3c82e7de7032b510aa6e7db713b6fd70 |
|
MD5 | ce988b329ef4db0adacba58182e7a13a |
|
BLAKE2b-256 | ff020f0a5e832b3e4fcbb6ddd85aac9aeb402f9d31fe1c628c4abb8f34c410d7 |