我使用LSB在图像中嵌入消息
想法:例如:位中的消息是:01010然后我将全部100 ...到此消息 - >新消息:010101000 ....
这是我的代码:
# num_lsbs: number of bits replaced: 1bit or 2bits, ...
# cover_image_file: original image
# stego_image_file: image file after embeded
def lsb(cover_img_file, msg_file, num_lsbs, stego_image_file):
#1. Read cover_img_file
cover_img = imread(cover_img_file) # cover_img: numpy
#2.1 Read msg_file
file_obj = open(msg_file, 'r')
msg = file_obj.read()
file_obj.close()
#2.2 Conver msg to msg_bits
msg_bits = bitarray.bitarray()
msg_bits.fromstring(msg)
#2.3 Add 100... to msg bit
max_num_bits = num_lsbs * cover_img.size
# Check if there are enough spaces
if (len(msg_bits) > max_num_bits - 1):
print "Not enough spaces to embed"
return
msg_bits.extend('1' + '0' * (max_num_bits - len(msg_bits) - 1))
#2.4 Convert msg_bits to msg img
str01 = msg_bits.to01()
msg_img = np.array ([int(str01[i:i + num_lsbs], 2) for i in range (0, len(msg_bits),
num_lsbs)], dtype = np.uint8)
msg_img.reshape(cover_img.shape)
print '\n\n--------Check shape--------\n'
print cover_img.shape, cover_img.dtype
print msg_img.shape, msg_img.dtype
^
|
|
#<<I can not reshape here>>
#3. Embed msg img to cover img
stego_img = ((cover_img >> num_lsbs) << num_lsbs) + msg_img
........
我无法重塑我的msg_img 我希望它的形状像cover_img shape
这是错误:
<ipython-input-2-82ce863f48cb> in embed_lsb(cover_img_file, msg_file, num_lsbs, stego_image_file)
41
42 #3. Embed msg img to cover img
---> 43 stego_img = ((cover_img >> num_lsbs) << num_lsbs) + msg_img
44
45 #4. Save the stego img file
ValueError: operands could not be broadcast together with shapes (414,500,3) (621000,)
任何人都可以帮助我 提前谢谢!!
答案 0 :(得分:2)
确定。所以你的重塑不起作用,因为你正在使用reshape()创建一个新的(重塑)数组,然后被遗忘。你需要做的是:
msg_img = msg_img.reshape(cover_img.shape)
或更好:
msg_img.shape = cover_img.shape