def insert(self, cover_image):
print("...Proceso de insercion...")
# Instancias necesarias
itools = ImageTools()
print("Convirtiendo a YCbCr")
# Convirtiendo a modelo de color YCbCr
cover_ycbcr_array = itools.rgb2ycbcr(cover_image)
# Obteniendo componente Y
cover_array = cover_ycbcr_array[:, :, 0]
# Objeto de la clase Bloque
bt_of_cover = BlocksImage(cover_array)
# Generando bloques a marcar
print("Generando bloques a marcar")
self.generar(bt_of_cover.max_num_blocks())
print("Marcando")
# Marcar los self.len_watermark_list bloques
for i in range(self.len_watermark_list):
block = bt_of_cover.get_block(self.pos[i])
# Calculando DCT
dct_block = DCT().dct2(block)
c = self.c
delta = self.delta
# negative = False
(px, py) = self.get_indice(c)
# if dct_block[px, py] < 0:
# negative = True
if self.watermark_list[i % self.len_watermark_list] == 0:
# Bit a insertar 0
dct_block[px, py] = 2*delta*round(abs(dct_block[px, py])/(2.0*delta)) - delta/2.0
else:
# Bit a insertar 1
dct_block[px, py] = 2*delta*round(abs(dct_block[px, py])/(2.0*delta)) + delta/2.0
# if negative:
# dct_block[px, py] *= -1
idct_block = DCT().idct2(dct_block)
bt_of_cover.set_block(idct_block, self.pos[i])
print("Convirtiendo a RGB")
image_rgb_array = itools.ycbcr2rgb(cover_ycbcr_array)
return Image.fromarray(image_rgb_array)
def insert(self, cover_image):
# Instancias necesarias
itools = ImageTools()
# Embedding of Copyright Information (robust watermarking)
# Convirtiendo a modelo de color YCbCr
cover_ycbcr_array = itools.rgb2ycbcr(cover_image)
# Tomando componente Y
cover_array = cover_ycbcr_array[:, :, 0]
# Wavelet Transform
LL, [LH, HL, HH] = pywt.dwt2(cover_array, 'haar')
# Watermark resize
self.watermark_proccesing(LL.shape)
colums = len(LL[0])
print("Creando posisciones random")
val = [x for x in range(self.cant_posibilidades)]
random.shuffle(val)
self.v = val[:self.len_watermark_list]
print("Insertando")
# Embedding
for i in range(self.len_watermark_list):
px = self.v[i] // colums
py = self.v[i] - (px * colums)
if self.watermark_list[i] == 255:
if HL[px, py] <= LH[px, py]:
T = abs(LH[px, py]) - abs(HL[px, py])
A3w = T + HL[px][py]
HL[px, py] = A3w + (LH[px, py] + HL[px, py]) / 2.0
else:
if LH[px, py] <= HL[px, py]:
T = abs(HL[px, py]) - abs(LH[px, py])
A2w = T + LH[px, py]
LH[px, py] = A2w + (LH[px, py] + HL[px, py]) / 2.0
# Inverse transform
cover_ycbcr_array[:, :, 0] = pywt.idwt2((LL, (LH, HL, HH)), 'haar')
image_rgb_array = itools.ycbcr2rgb(cover_ycbcr_array)
# Generating the watermarked image
watermarked_image = Image.fromarray(image_rgb_array)
return watermarked_image
def insert(self, cover_image):
print("...Proceso de insercion...")
# Instancias necesarias
itools = ImageTools()
print("Convirtiendo a YCbCr")
# Convirtiendo a modelo de color YCbCr
cover_ycbcr_array = itools.rgb2ycbcr(cover_image)
# Obteniendo componente Y
cover_array = cover_ycbcr_array[:, :, 0]
# Objeto de la clase Bloque
bt_of_cover = BlocksImage(cover_array)
# Generando bloques a marcar
print("Generando bloques a marcar")
self.generar(bt_of_cover.max_num_blocks())
print("Marcando")
# Marcar los self.len_watermark_list bloques
for i in range(self.len_watermark_list):
block = bt_of_cover.get_block(self.pos[i])
# Valores de coeficiente y delta optimo para el bloque
(c, delta) = self.clasificar(self.pos[i], cover_image)
# Calculando Krawchout Transform
dqkt_block = DqKT().dqkt2(block)
negative = False
(px, py) = self.get_indice(c)
if dqkt_block[px, py] < 0:
negative = True
if self.watermark_list[i % self.len_watermark_list] == 0:
# Bit a insertar 0
dqkt_block[px, py] = 2*delta*round(abs(dqkt_block[px, py])/(2.0*delta)) + delta/2.0
else:
# Bit a insertar 1
dqkt_block[px, py] = 2*delta*round(abs(dqkt_block[px, py])/(2.0*delta)) - delta/2.0
if negative:
dqkt_block[px, py] *= -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, self.pos[i])
print("Convirtiendo a RGB")
image_rgb_array = itools.ycbcr2rgb(cover_ycbcr_array)
return Image.fromarray(image_rgb_array)
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 insert(self, cover_image):
# Instancia
itools = ImageTools()
print("Convirtiendo a YCbCr")
# Convirtiendo a modelo de color YCbCr
cover_ycbcr_array = itools.rgb2ycbcr(cover_image)
# Obteniendo componente Y
cover_array = cover_ycbcr_array[:, :, 0]
print("DWT")
# DWT
LL, [LH, HL, HH] = pywt.dwt2(cover_array, 'haar')
# Generando posiciones a utilizar
self.generar(LL.size)
# Dividiendo LL en bloques de 8x8
bt_of_LL = BlocksImage(LL)
bt_of_HH = BlocksImage(HH)
print("Re-asignando subbanda HH")
for i in range(bt_of_LL.max_num_blocks()):
# Cuantificado
QLL = utils.quantification(bt_of_LL.get_block(i), self.Q)
# replaced directly by the resulting Q-LL
bt_of_HH.set_block(QLL, i)
QWLL = np.copy(HH)
# QWLL = np.full_like(HH)
print("Modificando LL")
for i in range(self.len_watermark_list):
colums = len(LL[0])
# Marcado
px = self.pos[i] // colums
py = self.pos[i] - (px * colums)
QWLL[px, py] = HH[px, py] + self.watermark_list[i] / 255 * self.k
# print("Modificando LL")
# for i in range(self.len_watermark_list + 1):
# colums = len(LL[0])
# # Marcado
# if i > 0:
# px = i // colums
# py = i - (px * colums)
# LL[px, py] += self.watermark_list[i-1]/255 * self.k
bt_of_QWLL = BlocksImage(QWLL)
for i in range(bt_of_LL.max_num_blocks()):
# Descuantificando
UQWLL = utils.unquantification(bt_of_QWLL.get_block(i), self.Q)
# replaced directly by the resulting Q-LL
bt_of_LL.set_block(UQWLL, i)
# Inverse transform
print("IDWT")
cover_ycbcr_array[:, :, 0] = pywt.idwt2((LL, (LH, HL, HH)), 'haar')
print("Convirtiendo a RGB")
image_rgb_array = itools.ycbcr2rgb(cover_ycbcr_array)
return Image.fromarray(image_rgb_array)