def test_mask_small_3(self):
image = np.array(io.imread('images/sample2048x2048.jpg'),
dtype=np.float)
ulx, lrx, uly, lry = 104, 112, 104, 112
tf_image = idct2(mask(dct2(image), ulx=ulx, lrx=lrx, uly=uly, lry=lry))
image[ulx:lrx, uly:lry] = 0
self.assertTrue(np.max(np.abs(image - tf_image)) < 1e-10)
def test_mask_horizontal_2(self):
image = np.array(io.imread('images/sample1024x1024.jpg'),
dtype=np.float)
ulx, lrx, uly, lry = 105, 108, 200, 304
tf_image = idct2(mask(dct2(image), ulx=ulx, lrx=lrx, uly=uly, lry=lry))
image[ulx:lrx, uly:lry] = 0
self.assertTrue(np.max(np.abs(image - tf_image)) < 1e-10)
def test_mask_small_1(self):
image = np.array(io.imread('images/sample512x512.jpg'), dtype=np.float)
for _ in range(100):
original_image = image.copy()
ulx = random.randint(0, image.shape[0] - 1)
uly = random.randint(0, image.shape[1] - 1)
lrx = random.randint(ulx + 1, image.shape[0])
lry = random.randint(uly + 1, image.shape[1])
tf_image = idct2(
mask(dct2(image), ulx=ulx, lrx=lrx, uly=uly, lry=lry))
original_image[ulx:lrx, uly:lry] = 0
self.assertTrue(np.max(np.abs(original_image - tf_image)) < 1e-10)
def test_mask_vertical_4(self):
image = np.array(io.imread('images/sample512x512.jpg'), dtype=np.float)
ulx, lrx, uly, lry = 200, 304, 104, 112
tf_image = idct2(mask(dct2(image), ulx=ulx, lrx=lrx, uly=uly, lry=lry))
image[ulx:lrx, uly:lry] = 0
self.assertTrue(np.max(np.abs(image - tf_image)) < 1e-10)
