NAME: Kamlesh Kumar
CLASS: BSCS-10C
DIP LAB 05
Lab
5
Image steganography
Task #1: Bit Plane Slicing
Perform bit slicing of an 8 bit greyscale image as discussed in the lecture. Start from the least significant
bit and move towards the most significant bit. You will get eight binary images of the input image as
demonstrated below.
TASK CODE:
import PIL
from matplotlib import pyplot as plt
from PIL import Image
import numpy as np
img = Image.open('lab05.tif')
BitPlaneSize = 8;
def stegnograph(level):
x = np.array(img)
level = 2 ** level
# convert the image to ndarray
# 2^level
XOR_fun = lambda arg: arg & level
# bitwise and
with level number
stegno_arr_func = np.vectorize(XOR_fun)
#
function to iterate every value of array through XOR_fun
function
y = stegno_arr_func(x)
# using vectorized
function to avoid for loops
return y
# return the new array for new image
def disp(img):
fig, axes = plt.subplots(nrows=2, ncols=4)
for x in range(2):
for y in range(4):
axes[x, y].set_title("Level no" + str(4*x + y))
axes[x, y].imshow(stenograph(4*x + y),map='gray')
disp(img)
# calling disp function
plt.show()
# showing the plot
OUTPUT