def encode_ext(image, message, num_bits):
message_bit = message_to_bits(message)
len_image = SimpleImage.get_width(image)*SimpleImage.get_height(image)*3
len_message = len(message_bit)
if len_image > len_message:
message_bit += (len_image - len_message) * "0"
new_image = change_lsb_ext (image,message_bit, num_bits)
elif len_image < len_message:
new_image = change_lsb_ext(image,message_bit[0:len_image], num_bits)
else:
new_image = change_lsb_ext(image,message_bit, num_bits)
return new_image
def decode_to_file(image_name, num_bits, filename):
image = sim.read_image(image_name)
message = decode_ext(image, num_bits)
file = open(filename,'w')
file.write(message)
file.close
return message
def encode(image,message):
message_bit = message_to_bits(message)
len_image = SimpleImage.get_width(image)*SimpleImage.get_height(image)*3
#To calculate the no of intensity values in the image, 2 helper
#functions predefined in the SimpleImage.py module are used.
#The get_width and get_height functions return the no of columns
#and rows in the image respectively. The number of intensity values
#is the product of the no of rows, no of columns and the integer 3
#(because each pixel has 3 intensity values).
len_message = len(message_bit)
#The length of the message string is also calculated.
if len_image > len_message:
message_bit += (len_image - len_message) * "0"
#If there are more intensity values in the image than bits in
#the binary string, then, the LSBs of the remaining intensity
#values are set to 0. To achieve this, the message_bit string
#is concatenated with (len_image - len_message)number of zeroes('0').
new_image = change_lsb (image,message_bit)
#The change_lsb function is called and it encodes the message_bit
#(that has been concatenated with 0s) into the image and returns
#a new image which is assigned to a variable called new_image.
elif len_image < len_message:
#If there are more bits in the binary string than intensity
#values in the image, the function encodes as many bits of the
#binary string as possible. To achieve this, message_bit is sliced
#and only a certain no of bits(certain no is equal to no of
#intensity values)are encoded into the image.
new_image = change_lsb(image,message_bit[0:len_image])
#The change_lsb function is called and it encodes the message_bit
#sliced from 0 to the number of intensity values into the image.
#It returns the new image to a variable called new_image.
else:
new_image = change_lsb(image,message_bit)
#In the case where no of bits and the no of intensity values
#are equal, change_lsb returns a new image without having to make
#any changes to the string message_bit.
return new_image
def unscramblePILimage(PILimage):
image = sim.to_rectangle(PILimage)
return sim.to_flat(unscramble(image))
def decodePILimage(PILimage):
image = sim.to_rectangle(PILimage)
return decode(image)
def encodePILimage(PILimage, message):
image = sim.to_rectangle(PILimage)
output = encode(image, message)
return sim.to_flat(output)
def decode_direct(image_name, num_bits):
image = sim.read_image(image_name)
message = decode_ext(image,num_bits)
return message
def encode_direct(image_name,message,num_bits,coded_image_name):
image = sim.read_image(image_name)
encoded_image = encode_ext(image,message,num_bits)
sim.write_image(encoded_image, coded_image_name)
return None
