LSB-Steganography
Python program to steganography files into images using the Least Significant Bit technics.
Article : http://robindavid.comli.com/lsb-steganography-with-opencv/
Informations
LSBSteg module is based on OpenCV to hide datas in images. It uses the first bit (so the lowest) of every pixels and every colours of an image. The code is quite simple to understand. If every first bits have been used the module start using the second so bigger the datas are more the image will be alterated. To program all to hide everyhing, if there is enough space in the image. The main functions are:
- hideText: You provide directly your string and the program manage to hide it
- hideImage: You provide an OpenCV image and the method iterate every pixels to hide them. A good practice is to have a carrier 8 time bigger than the image to hide (so that every pixels will be put only in the first bit.
- hideBinary: You provide the path of the binary and it wil be hide. So this method can take any kind of files.
How to use it ?
Text steganography:
from LSBSteg import LSBSteg
#Hide
str = "Hello World"
carrier = cv.LoadImage("image.jpg")
steg = LSBSteg(carrier)
steg.hideText(str)
steg.saveImage("res.png") #Image that contain datas
#Unhide
im = cv.LoadImage("res.png")
steg = LSBSteg(im)
print "Text value:",steg.unhideText()
Image steganography:
from LSBSteg import LSBSteg
#Hide
imagetohide = cv.LoadImage("secret_image.jpg")
carrier = cv.LoadImage("image.jpg")
steg = LSBSteg(carrier)
steg.hideImage(imagetohide)
steg.saveImage("res.png")
#Unhide
inp = cv.LoadImage("res.png")
steg = LSBSteg(inp)
dec = steg.unhideImage()
cv.SaveImage("recovered.png", dec) #Image retrieve into the other image
Binary steganography:
from LSBSteg import LSBSteg
#Hide
carrier = cv.LoadImage("image.jpg")
steg = LSBSteg(carrier)
steg.hideBin("ls") #I took the first binary I found
steg.saveImage("res.png")
#Unhide
inp = cv.LoadImage("res.png")
steg = LSBSteg(inp)
bin = steg.unhideBin()
f = open("res","wb") #Write the binary back to a file
f.write(bin)
f.close()