我已经将狗的图片解构成其大小和相位分量。但是,当我将它们放回去并尝试进行傅立叶逆变换时,我没有得到原始图像吗?
img1 = img1[:,:,2]
plt.imshow(img1, cmap='gray')
plt.show()
dft = cv2.dft(np.float32(img1), flags = cv2.DFT_COMPLEX_OUTPUT)
print(dft)
dft_shift = np.fft.fftshift(dft)
print(dft_shift)
mag, ang = cv2.cartToPolar(dft_shift[:,:,0],dft_shift[:,:,1])
plt.imshow(20*np.log(mag), cmap='gray')
plt.show()
plt.imshow(ang, cmap='gray')
plt.show()
combined = np.multiply(mag, np.exp(1j*ang))
imgCombined = np.real(np.fft.ifft2(np.fft.ifftshift(combined)))
plt.imshow(imgCombined, cmap='gray')
plt.show()
固定!
def compute_mag_phase(toBeTransfromed):
dft = np.fft.fft2(toBeTransfromed)
dft_shift = np.fft.fftshift(dft)
mag = np.abs(dft_shift)
ang = np.angle(dft_shift)
return mag, ang
def reconstruct(mag,ang):
combined = np.multiply(mag, np.exp(1j*ang))
fftx = np.fft.ifftshift(combined)
ffty = np.fft.ifft2(fftx)
imgCombined = np.abs(ffty)
return imgCombined
幅度:
角度:
重建: