A port of the Dual-Tree Complex Wavelet Transform MATLAB toolbox.
Project description
This library provides support for computing 1D, 2D and 3D dual-tree complex wavelet transforms and their inverse in Python. Full documentation is available online.
Installation
The easiest way to install dtcwt is via easy_install or pip:
$ pip install dtcwt
If you want to check out the latest in-development version, look at the project’s GitHub page. Once checked out, installation is based on setuptools and follows the usual conventions for a Python project:
$ python setup.py install
(Although the develop command may be more useful if you intend to perform any significant modification to the library.) A test suite is provided so that you may verify the code works on your system:
$ python setup.py nosetests
This will also write test-coverage information to the cover/ directory.
Further documentation
There is more documentation available online and you can build your own copy via the Sphinx documentation system:
$ python setup.py build_sphinx
Compiled documentation may be found in build/docs/html/.
Provenance
Based on the Dual-Tree Complex Wavelet Transform Pack for MATLAB by Nick Kingsbury, Cambridge University. The original README can be found in ORIGINAL_README.txt. This file outlines the conditions of use of the original MATLAB toolbox.
Changes
0.8.0
Verified the highpass re-sampling routines in dtcwt.sampling against the existing MATLAB implementation.
Added experimental image registration routines.
Re-organised documentation.
0.7.2
Fixed regression from 0.7 where backend_opencl.dtwavexfm2 would return None, None, None.
0.7.1
Fix a memory leak in OpenCL implementation where transform results were never de-allocated.
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
File details
Details for the file dtcwt-0.8.0.tar.gz.
File metadata
- Download URL: dtcwt-0.8.0.tar.gz
- Upload date:
- Size: 3.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 71fbd8906b4c537465463d524c44d22e4d79ecd73df0bc151cbb07cda12adfd7 |
|
| MD5 | 9459d4f95543073cd606acba5cab9c3e |
|
| BLAKE2b-256 | 959052dd606b40a2de74240ba0aaf1dae7f99d288e3802ceffb0529089ad0e6e |
