Métodos Operacionais - Aula 14

Introdução e Aplicações a Wavelets Código em Python do exemplo de aula: -------------------------------- 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() --------------------------------