The dtcwt library

This library provides support for computing 1D, 2D and 3D dual-tree complex wavelet transforms and their inverse in Python along with some signal processing algorithms which make use of the DTCWT.

Contents

• Getting Started
  • Installation
• Performing the DTCWT
  • 1D transform
  • 2D transform
  • 3D transform
  • Variant transforms
• Multiple Backend Support
  • NumPy
  • OpenCL
  • Which backend should I use?
  • Using a backend
• DTCWT-based algorithms
  • Image Registration
• Example scripts
  • Showing 3D Directional Sensitivity
  • 2D Image Registration
• API Reference
  • Computing the DT-CWT
  • Backends
  • Keypoint analysis
  • Image sampling
  • Image registration
  • Miscellaneous and low-level support functions

Features of note

The features of the dtcwt library are:

• 1D, 2D and 3D forward and inverse Dual-tree Complex Wavelet Transform implementations.
• API similarity with the DTCWT MATLAB toolbox.
• Automatic selection of single versus double precision calculation.
• Built-in support for the most common complex wavelet families.

Licence

The original toolbox is copyrighted and there are some restrictions on use which are outlined in the file ORIGINAL_README.txt. Aside from portions directly derived from the original MATLAB toolbox, any additions in this library and this documentation are licensed under the 2-clause BSD licence as documented in the file COPYING.txt.