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-0.0.2rc61.post1.tar.gz
(19.0 kB
view hashes)
Built Distribution
Close
Hashes for pyblindrl-0.0.2rc61.post1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7ebc68f6feedc90184a85568fefdc7e5fd2add50b08863bc124b50c78b591789 |
|
MD5 | 0423324eb05b6993ca4f1d23b1811a24 |
|
BLAKE2b-256 | faa1032f4eaa69649dda58b7422da2968c263bd68cfb21d12d5b0c3673dc99d3 |
Close
Hashes for pyblindrl-0.0.2rc61.post1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 192857fbbe49be9cdbff14a0f5b301361290aa045d36372aadeee8a4d4e25f0c |
|
MD5 | a58a8846489ba218c9740035b752ba32 |
|
BLAKE2b-256 | 09b494050e673f90c4c272bb3e8a7c442392548f31b814da1a17c98dc16477f4 |