def decim(img, k):
    y, u, v = img[:, :, 0], img[:, :, 1], img[:, :, 2]
    new_u = np.array([np.array([px for j, px in enumerate(row) if j % 2])
        for i, row in enumerate(u) if i % 2])
    new_v = np.array([np.array([px for j, px in enumerate(row) if j % 2])
        for i, row in enumerate(v) if i % 2])
    print(skimage.measure.shannon_entropy(new_u))
    print(skimage.measure.shannon_entropy(new_v))
    new_u = np.array(np.repeat([np.repeat([px for px in row], 2) for row in new_u], 2, axis=0))
    new_v = np.array(np.repeat([np.repeat([px for px in row], 2) for row in new_v], 2, axis=0))
    new_img = np.dstack((y, new_u, new_v))
    return np.uint8(new_img)
rezh = decim(tigeryuv, 1)
io.imshow(rezh)
#io.imsave('tiger_yuv_dec.jpg', rezh)