Recover images from proximity information.
Project description
Staged Image Recovery uses a combination of structural embedding and manifold learning to recover images from proximity information. Such information is encoded in a graph, where edges denote proximity. Although the problem to be solved is quite general, it has special relevancein the context of DNA sequencing-based microscopy.For more information, please read our paper:https://www.biorxiv.org/content/10.1101/2022.09.29.510142v1
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ImageRecovery-0.0.3.tar.gz
(1.8 kB
view hashes)
Built Distribution
Close
Hashes for ImageRecovery-0.0.3-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b63696dd1b51bf989234e19d8ae325f356a2b6477ae5b76c8414b1a559258a46 |
|
| MD5 | 851305ba915b3174f0e2d4746eb9543c |
|
| BLAKE2b-256 | 49c17bf8b02bb69947ca8574389a5fd9d80ca53c9a26281652c6a9607737e2dc |
