first commit

Author: AAVision

2.png

@@ -0,0 +1,304 @@
+#!/usr/bin/env python
+# coding:UTF-8
+"""Code.py
+only for lossy files jpg and png and jpeg
+
+
+
+
+Usage:
+  Code.py encode -i <input> -o <output> -f <file> -l <level>
+  Code.py decode -i <input> -o <output> -l <level>
+  Code.py mes -i <input> -o <output> -f <file> 
+  Code.py dmes -i <input> 
+
+Options:
+  -h, --help                Show this help
+  --version                 Show the version
+  -f,--file=<file>          File to hide
+  -i,--in=<input>           Input image (carrier)
+  -o,--out=<output>         Output image (or extracted file)
+  -l,--level = <level>
+
+"""
+
+import cv2
+#docopt is like argparse
+import docopt
+import numpy as np
+import hashlib 
+import os
+
+
+class SteganographyException(Exception):
+    pass
+
+
+class Code():
+    def __init__(self, im,level):
+        self.image = im
+        #get height and width from the shape of image
+        self.height, self.width, self.nbchannels = im.shape
+        #size = width * height
+        self.size = self.width * self.height
+        
+        
+        if level==1:
+            self.maskONEValues = [1,2]
+            self.maskONE = self.maskONEValues.pop(0)
+            self.maskZEROValues = [254,253]
+            self.maskZERO = self.maskZEROValues.pop(0)
+        
+        elif level==2:
+            self.maskONEValues = [1,2,4,8]
+            self.maskONE = self.maskONEValues.pop(0)
+            self.maskZEROValues = [254,253,251,247]
+            self.maskZERO = self.maskZEROValues.pop(0)
+        
+        elif level==3:
+            self.maskONEValues = [1,2,4,8,16,32]
+            self.maskONE = self.maskONEValues.pop(0)
+            self.maskZEROValues = [254,253,251,247,239,223]
+            self.maskZERO = self.maskZEROValues.pop(0)
+            
+       
+        
+        
+        elif level ==4:
+            self.maskONEValues = [1,2,4,8,16,32,64,128]
+        #Mask used to put one ex:1->00000001, 2->00000010 .. associated with OR bitwise
+        #Bitwise operators are used to change individual bits in an operand. A single byte of computer memory-when viewed as 8 bits-can signify the true/false status of 8 flags
+        #bchel awal 0 aa chml so btzeh + bchel awal chi b array
+            self.maskONE = self.maskONEValues.pop(0) #Will be used to do bitwise operations
+        
+            self.maskZEROValues = [254,253,251,247,239,223,191,127]
+        #bze7 awal 0 aa yamen lal chml + bchel awal chi b array
+        #Mak used to put zero ex:254->11111110, 253->11111101 .. associated with AND bitwise
+            self.maskZERO = self.maskZEROValues.pop(0)
+        
+        self.curwidth = 0  # Current width position
+        self.curheight = 0 # Current height position
+        self.curchan = 0   # Current channel position
+        self.count = 0
+        self.counterrr=0
+        #channels are 3 RGB
+        #print("first:",self.image[379,379])
+        #print("EE:",self.curheight)
+        #print("VV:",self.curwidth)
+    def put_binary_value(self, bits): #Put the bits of the image
+        #print("boss:",self.image[self.curheight,self.curwidth])
+        for c in bits: #Iterate over all bits chml lal yamen
+            val = list(self.image[self.curheight,self.curwidth]) #Get the pixel value as a list (val is now a 3D array)
+            #Get the pixel value as a list
+            #if the bit to be encoded is '0'
+           
+
+
+            if int(c) == 1: #if bit is set, mark it in image
+            	#Else if bit is not set, reset it in image
+                #print("first")
+                #print(val[self.curchan])
+                val[self.curchan] = int(val[self.curchan]) | self.maskONE
+                #print(val[self.curchan])#OR with maskONE
+            else:
+                #print("second")
+                #print(val[self.curchan])
+                val[self.curchan] = int(val[self.curchan]) & self.maskZERO
+                #print(val[self.curchan])
+                #print("curchan:",int(val[self.curchan]))
+                #print("mask0:",self.maskZERO)
+                #print("sum::",val[self.curchan])
+                #print("after222:",val[self.curchan]) #AND with maskZERO
+            
+            #Update image
+            self.image[self.curheight,self.curwidth] = tuple(val)
+            #print("2:",val[self.curchan])
+
+            self.next_slot() #Move "cursor" to the next space
+        
+    def next_slot(self):#Move to the next slot were information can be taken or put
+        if self.curchan == self.nbchannels-1: #Next Space is the following channel
+            self.curchan = 0
+            if self.curwidth == self.width-1: #Or the first channel of the next pixel of the same line
+                self.curwidth = 0
+                if self.curheight == self.height-1:#Or the first channel of the first pixel of the next line
+                    self.curheight = 0
+                    if self.maskONE == int(max(self.maskONEValues)): #final mask, indicating all bits used up
+                        raise SteganographyException("No available slot remaining (image filled)")
+                    else: #Or instead of using the first bit start using the second and so on..
+                        self.maskONE = self.maskONEValues.pop(0)
+                        self.maskZERO = self.maskZEROValues.pop(0)
+                else:
+                    self.curheight +=1
+            else:
+                self.curwidth +=1
+        else:
+            self.curchan +=1
+
+        #print('maskONE: ',self.maskONE)
+        #print('maskZERO: ',self.maskZERO)
+        #print('curwidth: ',self.curwidth)
+
+        #print('curheight: ',self.curheight)
+        #print('curchan: ',self.curchan)
+        #print('curchan: ',self.curchan)
+    def read_bit(self): #Read a single bit int the image
+        val = self.image[self.curheight,self.curwidth][self.curchan]
+        val = int(val) & self.maskONE
+        self.next_slot()
+        #Check if corresp bitmask and val have same set bit
+        if val > 0:
+            return "1"
+        else:
+            return "0"
+    
+    def read_byte(self):
+        return self.read_bits(8)
+    
+    def read_bits(self, nb): #Read the given number of bits
+        bits = ""
+        for i in range(nb):
+            bits += self.read_bit()
+        #65300
+        return bits
+
+    def byteValue(self, val):
+        return self.binary_value(val, 8)
+        
+    def binary_value(self, val, bitsize): #Return the binary value of an int as a byte
+        binval = bin(val)[2:]
+        if len(binval) > bitsize:
+            raise SteganographyException("binary value larger than the expected size")
+        while len(binval) < bitsize:
+            binval = "0"+binval
+        #print(binval)
+        return binval
+
+    def encode_text(self, txt):
+        l = len(txt)
+        #print(l)
+        binl = self.binary_value(l, 16) #Length coded on 2 bytes so the text size can be up to 65536 bytes long
+        #print(binl)
+        self.put_binary_value(binl) #Put text length coded on 4 bytes
+        for char in txt: #And put all the chars
+            c = ord(char)
+            #print(c)
+            #print(self.byteValue(c))
+            self.put_binary_value(self.byteValue(c))
+        return self.image
+       
+    def decode_text(self):
+        ls = self.read_bits(16) #Read the text size in bytes
+        l = int(ls,2)
+        i = 0
+        unhideTxt = ""
+        while i < l: #Read all bytes of the text
+            tmp = self.read_byte() #So one byte
+            i += 1
+            unhideTxt += chr(int(tmp,2)) #Every chars concatenated to str
+        return unhideTxt
+
+    def encode_image(self, imtohide):
+        w = imtohide.width
+        h = imtohide.height
+        if self.width*self.height*self.nbchannels < w*h*imtohide.channels:
+            raise SteganographyException("Carrier image not big enough to hold all the datas to steganography")
+        binw = self.binary_value(w, 16) #Width coded on to byte so width up to 65536
+        binh = self.binary_value(h, 16)
+        self.put_binary_value(binw) #Put width
+        self.put_binary_value(binh) #Put height
+        for h in range(imtohide.height): #Iterate the hole image to put every pixel values
+            for w in range(imtohide.width):
+                for chan in range(imtohide.channels):
+                    val = imtohide[h,w][chan]
+                    self.put_binary_value(self.byteValue(int(val)))
+        return self.image
+
+                    
+    def decode_image(self):
+        width = int(self.read_bits(16),2) #Read 16bits and convert it in int
+        height = int(self.read_bits(16),2)
+        unhideimg = np.zeros((width,height, 3), np.uint8) #Create an image in which we will put all the pixels read
+        for h in range(height):
+            for w in range(width):
+                for chan in range(unhideimg.channels):
+                    val = list(unhideimg[h,w])
+                    print("val:",val)
+                    val[chan] = int(self.read_byte(),2) #Read the value
+                    print("val[chan]:",val)
+                    unhideimg[h,w] = tuple(val)
+                    print("unhideimg[h,w]:",val)
+        return unhideimg
+    
+    def encode_binary(self, data):
+        #file
+        l = len(data)
+        #print(l)
+        #exmaple l=52598 if image 2.jpg
+        
+        if self.width*self.height*self.nbchannels < l+64:
+            raise SteganographyException("Carrier image not big enough to hold all the datas to steganography")
+        self.put_binary_value(self.binary_value(l, 64)) #put bin(52598,64)
+        for byte in data:
+            #bhwel mn number to ascii ex: (b=>98, 1=>48)
+            byte = byte if isinstance(byte, int) else ord(byte) # Compat py2/py3
+            self.put_binary_value(self.byteValue(byte))
+        return self.image
+
+    def decode_binary(self):
+        l = int(self.read_bits(64), 2)
+        output = b""
+        for i in range(l):
+            output += bytearray([int(self.read_byte(),2)])
+        return output
+
+    
+    
+def main():
+    args = docopt.docopt(__doc__, version="0.2")
+    in_f = args["--in"]
+    out_f = args["--out"]
+    os.system('optimize-images ' +in_f)
+    in_img = cv2.imread(in_f)
+    lossy_formats = ["jpeg", "jpg","png"]
+    
+    
+    
+
+    if args['encode']:
+        #Handling lossy format
+        out_f, out_ext = out_f.split(".")
+        if out_ext in lossy_formats:
+            out_f = out_f + ".png"
+            print("Output file changed to ", out_f)
+
+        data = open(args["--file"], "rb").read()
+        #\x1c\n\xec\xa5U\xce\t\x98N\x1c\xac\xff\xd9'
+        level = args['--level']
+        steg = Code(in_img,int(level))
+        res = steg.encode_binary(data)
+        cv2.imwrite(out_f, res)
+        #os.system('optimize-images ' +out_f)
+        #os.system('picopt ' +out_f)
+
+    elif args["decode"]:
+        level = args['--level']
+        steg = Code(in_img,int(level))
+        raw = steg.decode_binary()
+        with open(out_f, "wb") as f:
+            f.write(raw)
+
+    elif args["mes"]:
+    	result = hashlib.sha512(args["--file"].encode())
+    	#result.hexdigest()
+    	test = steg.encode_text(args["--file"])
+    	cv2.imwrite(out_f, test)
+    	print("Done!")
+
+    elif args["dmes"]:
+    	outtext = steg.decode_text()
+    	print(outtext)
+
+if __name__=="__main__":
+    main()
+