def insert(cover_image, watermark_image):
from image_tools.ImageTools import ImageTools
dqkt = DqKT()
myqr = MyQR62()
dat = DAT()
itools = ImageTools()
delta = 128
c = [1, 19]
if (c[1] - c[0]) != 0:
# Convirtiendo a modelo de color YCbCr
cover_ycbcr_array = itools.rgb2ycbcr(cover_image)
cover_array = cover_ycbcr_array[:, :, 0]
# Cargando watermark
watermark = watermark_image.convert("1")
# Utilizando Arnold Transforms
for i in range(20):
watermark = dat.dat2(watermark)
# obteniendo array de la watermark
watermark_array = misc.fromimage(watermark) # Array of watermark
# Instance a la clase Bloque
bt_of_cover = BlockTools(cover_array)
# Calculando e imprimeindo datos iniciales
len_of_watermark = watermark_array.size
# Datos de la watermark como lista
list_bit_of_watermark = watermark_array.reshape(
(1, len_of_watermark))[0]
# Utilizar Bloques segun key
dic = {'semilla': 0.00325687, 'p': 0.22415897}
valores = []
cantidad = bt_of_cover.max_blocks()
for i in range(cantidad):
valores.append(i)
v = mypwlcm_limit(dic, valores, len_of_watermark)
# Marcar los self.len_of_watermark bloques
for i in range(len_of_watermark):
dqkt_block = dqkt.dqkt2(
np.array(bt_of_cover.get_block(v[i] + 1), dtype=np.float32))
negative = False
if dqkt_block[get_indice(c[1])[0], get_indice(c[1])[1]] < 0:
negative = True
if list_bit_of_watermark[i % len_of_watermark] == 0:
# Bit a insertar 0
dqkt_block[get_indice(c[1])[0],
get_indice(c[1])[1]] = 2 * delta * round(
abs(dqkt_block[get_indice(c[1])[0],
get_indice(c[1])[1]]) /
(2.0 * delta)) - delta / 2.0
else:
# Bit a insertar 1
dqkt_block[get_indice(c[1])[0],
get_indice(c[1])[1]] = 2 * delta * round(
abs(dqkt_block[get_indice(c[1])[0],
get_indice(c[1])[1]]) /
(2.0 * delta)) + delta / 2.0
if negative:
dqkt_block[get_indice(c[1])[0], get_indice(c[1])[1]] *= -1
idqkt_block = dqkt.idqkt2(dqkt_block)
inv = idqkt_block
for x in range(8):
for y in range(8):
if (inv[x, y] - int(inv[x, y])) < 0.5:
inv[x, y] = int(inv[x, y])
else:
inv[x, y] = int(inv[x, y]) + 1
if inv[x, y] > 255:
inv[x, y] = 255
if inv[x, y] < 0:
inv[x, y] = 0
bt_of_cover.set_block(idqkt_block, v[i] + 1)
cover_marked_ycbcr_array = cover_ycbcr_array
image_rgb_array = itools.ycbcr2rgb(cover_marked_ycbcr_array)
return misc.toimage(image_rgb_array)
def extract(watermarked_filename):
delta = 128
c = [1, 19]
from image_tools.ImageTools import ImageTools
dqkt = DqKT()
myqr = MyQR62()
dat = DAT()
itools = ImageTools()
watermarked_image = Image.open(watermarked_filename)
watermarked_ycbcr_image = itools.rgb2ycbcr(watermarked_image)
watermarked_array = watermarked_ycbcr_image[:, :, 0]
bt_of_watermarked_image_without_noise = BlockTools(watermarked_array)
extract = []
len_of_watermark = 3844
# Utilizar Bloques segun key
dic = {'semilla': 0.00325687, 'p': 0.22415897}
valores = []
cantidad = bt_of_watermarked_image_without_noise.max_blocks()
for i in range(cantidad):
valores.append(i)
v = mypwlcm_limit(dic, valores, len_of_watermark)
for i in range(len_of_watermark):
dqkt_block = dqkt.dqkt2(
np.array(bt_of_watermarked_image_without_noise.get_block(v[i] + 1),
dtype=np.float32))
negative = False
if dqkt_block[get_indice(c[1])[0], get_indice(c[1])[1]] < 0:
negative = True
C1 = (2 * delta * round(
abs(dqkt_block[get_indice(c[1])[0],
get_indice(c[1])[1]]) / (2.0 * delta)) +
delta / 2.0) - abs(dqkt_block[get_indice(c[1])[0],
get_indice(c[1])[1]])
C0 = (2 * delta * round(
abs(dqkt_block[get_indice(c[1])[0],
get_indice(c[1])[1]]) / (2.0 * delta)) -
delta / 2.0) - abs(dqkt_block[get_indice(c[1])[0],
get_indice(c[1])[1]])
if negative:
C1 *= -1
C0 *= -1
if C0 < C1:
extract.append(0)
else:
extract.append(1)
wh = int(math.sqrt(len_of_watermark))
extract_image = Image.new("1", (wh, wh), 255)
array_extract_image = misc.fromimage(extract_image)
for i in range(wh):
for y in range(wh):
if extract[wh * i + y] == 0:
array_extract_image[i, y] = 0
watermark_array_image = misc.toimage(array_extract_image)
for i in range(10):
watermark_array_image = dat.dat2(watermark_array_image)
b = BlockTools(misc.fromimage(watermark_array_image), 2, 2)
for m in range(1, b.max_blocks() + 1):
b.set_color(m)
return misc.toimage(myqr.get_resconstructed(b.get()))