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-0.1.2rc95.post1.tar.gz
(19.6 kB
view hashes)
Built Distribution
Close
Hashes for pyblindrl-0.1.2rc95.post1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 83140cf994a691c21a26d2b54c11870ba3a965c7de26e4f645592d7df99892da |
|
MD5 | d27098b05b2851ca716250ba91cb4ca4 |
|
BLAKE2b-256 | 26680e1120dabd412fd5d07f6a2a3f0f6db0c51ac1b2e553540f2e31133e2546 |
Close
Hashes for pyblindrl-0.1.2rc95.post1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1304dd1e48389d76289d15568e87cf1c91abcd4e54f9a7ac906e081450ea36b7 |
|
MD5 | 0c53a0e94e9ace5515edf640c782c708 |
|
BLAKE2b-256 | d3d0669a3e27de11365f4067207cb100d89068a44f05739430aa0c01b13f53df |