pywt

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import numpy as np
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from matplotlib import pyplot as plt
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import pywt
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img = pywt.data.camera().astype(float)
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# Fully separable transform
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fswavedecn_result = pywt.fswavedecn(img, 'db2', 'periodization', levels=4)
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# Standard DWT
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coefs = pywt.wavedec2(img, 'db2', 'periodization', level=4)
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# convert DWT coefficients to a 2D array
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mallat_array, mallat_slices = pywt.coeffs_to_array(coefs)
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fig, (ax1, ax2) = plt.subplots(1, 2)
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ax1.imshow(np.abs(mallat_array)**0.25,
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           cmap=plt.cm.gray,
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           interpolation='nearest')
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ax1.set_axis_off()
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ax1.set_title('Mallat decomposition\n(wavedec2)')
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ax2.imshow(np.abs(fswavedecn_result.coeffs)**0.25,
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           cmap=plt.cm.gray,
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           interpolation='nearest')
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ax2.set_axis_off()
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ax2.set_title('Fully separable decomposition\n(fswt)')
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plt.show()
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