PyWavelets Documentation
PyWavelets Documentation
Release 1.3.0.dev0+9a72143 The PyWavelets Developers
Dec 14, 2021
1 Main features 2 Getting help 3 License 4 Citing 5 Contents Bibliography Index
Contents
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PyWavelets Documentation, Release 1.3.0.dev0+9a72143
PyWavelets is open source wavelet transform software for Python. It combines a simple high level interface with low level C and Cython performance. PyWavelets is very easy to use and get started with. Just install the package, open the Python interactive shell and type:
>>> import pywt >>> cA, cD = pywt.dwt([1, 2, 3, 4], 'db1')
Voil?! Computing wavelet transforms has never been so simple :) Here is a slightly more involved example of applying a digital wavelet transform to an image:
import numpy as np import matplotlib.pyplot as plt
import pywt import pywt.data
# Load image original = pywt.data.camera()
# Wavelet transform of image, and plot approximation and details titles = ['Approximation', ' Horizontal detail',
'Vertical detail', 'Diagonal detail'] coeffs2 = pywt.dwt2(original, 'bior1.3') LL, (LH, HL, HH) = coeffs2 fig = plt.figure(figsize=(12, 3)) for i, a in enumerate([LL, LH, HL, HH]):
ax = fig.add_subplot(1, 4, i + 1) ax.imshow(a, interpolation="nearest", cmap=plt.cm.gray) ax.set_title(titles[i], fontsize=10) ax.set_xticks([]) ax.set_yticks([])
fig.tight_layout() plt.show()
Approximation
Horizontal detail
Vertical detail
Diagonal detail
Contents
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PyWavelets Documentation, Release 1.3.0.dev0+9a72143
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Contents
1 CHAPTER
Main features
The main features of PyWavelets are: ? 1D, 2D and nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) ? 1D, 2D and nD Multilevel DWT and IDWT ? 1D, 2D and nD Stationary Wavelet Transform (Undecimated Wavelet Transform) ? 1D and 2D Wavelet Packet decomposition and reconstruction ? 1D Continuous Wavelet Transform ? Computing Approximations of wavelet and scaling functions ? Over 100 built-in wavelet filters and support for custom wavelets ? Single and double precision calculations ? Real and complex calculations ? Results compatible with Matlab Wavelet Toolbox (TM)
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Chapter 1. Main features
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