44e510ee7d49fe9e9126b2e1ecbd916a18450e84,examples/2d/plot_filters.py,,,#,40

Before Change

// Add blanks for pretty display
for z in range(L):
    axs[i // L, i % L].axis("off")
    i = i+1

//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Lowpass filter
// ----------------
// We finally display the Gaussian filter.
f_r = filters_set["phi"][0][...,0].numpy()
f_i = filters_set["phi"][0][..., 1].numpy()
f = f_r + 1j*f_i
filter_c = fft2(f)

After Change

plt.suptitle("The corresponding low-pass filter, also known as scaling function."
"Color saturation and color hue respectively denote complex magnitude and complex phase", fontsize=13)
filter_c = np.abs(filter_c)
plt.imshow(filter_c)

Instances