CPSC120B - Lab 28

Parse Binary

All computer memory is binary, so whether an integer is represented as a string or as a number, it is still represented as a number in binary.

Details

Write a function called parse_binary(binary_string) in a file called parse_bin.py. The function should return an int value that is equivalent to the binary integer represented with binary_string. The function should assume that binary_string consists of only the characters '0' and '1'.

Make sure your program handles all necessary cases gracefully. What additional test cases should you check?

Sample Test Cases

Function Call	Expected Output
parse_int('101')	5
type(parse_int('101'))	<class 'int'>

Hint

To convert the binary string to an int, the function will need to convert and accumulate each digit in the input string. The function will therefore follow the accumulator pattern that we have seen multiple times. However, the code is slightly easier to write if the function iterates over the input string's digits in reverse order. The least significant digits of the input string are the characters with the highest indices. So by iterating in reverse order the input string's digits can be converted in order of ascending significance. To create a loop that iterates over the characters in reverse order, use the for i in range version of the for loop. You can print the characters at each iteration of the loop to verify that the loop is written correctly.
Converting each digit character to an int is not sufficient. For example, in the number 100 the digit 1 has the value 4. So, the first digit must be multiplied by 1, the second by 2, the third by 4, and so on. To do this, create an integer before the loop that is initially 1 and represents the digit's place. In side the loop the integer should increase by a multiple of 2 each iteration. Print the variable to make sure that it is increasing as desired.
Finally, add an accumulator variable that is initially 0. Each iteration of the loop increase the accumulator by the current digit multiplied by the place integer. Don't forget to return the accumulated value.

Challenge

Converting binary to integer is useful, but for a complete package we should be able to go the other way as well. Write a function called int_to_binary_string(an_int), which takes an integer as input. Your function should return a string of 1's and 0's, the binary representation of the input integer.

Steganography

Cryptography can be used to make the contents of a message secret, but sometimes you want to hide that a message is even being sent. Steganography is one way to hide messages, and a common technique takes advantage of our inability to perceive small changes in colors. For example the image below consists of two boxes with different colors.

The left box has the RGB values (161, 187, 150). The box on the right has the RGB values (162, 188, 151). The two boxes appear to be the same color because the RGB values are similar. A message can be hidden in an image by making small changes to the RGB values of an existing image.

A common way of modifying an image is to change only the least significant bits of the RGB values. The least significant bit of a number is the right-most bit and represents the value 2⁰, or 1. Therefore, the most a color value will change if the least significant bit is change is 1, which the above image demonstrates as imperceptible. The following whale image, for example, has a message encoded in it.

Details

Create a function called decode_image(ppm_file_name) in a file called steganography.py. The program should return the secret message that is embedded in the specified image file. The message is encoded as 8-bit ASCII in the least significant bit of the image's color data. Assume that the number of color values in the file is a factor of 8. Once you have tested your program on a simple example, you can test it on the above whale image.

Some things to keep in mind:

The first three lines of a PPM file specify header information for the image. You will have to skip these three lines.
Each subsequent line specifies one color value of a pixel (Red, Green, and Blue respectively). You need to extract the least significant bit of each of these values.
Once you have processed 8 color values, you will have to convert the binary sequence represented by their least significant bits into a single character. This is one character in the hidden message.

Example

>>> image_file = open("demo.ppm", "r")
>>> print(image_file.read())
P3
1 8
255
122
101
215
42
2
128
200
13
64
203
155
130
36
172
91
180
88
77
55
22
44
66
33
99
>>> print(decode_image("demo.ppm"))
abc

Hint

You are going to use the accumulator pattern here for strings, accumulating the least significant bit of the color values into a string. A number that is odd has a 1 as the least significant bit, a number that is even has a 0 as the least significant bit.
You can convert a binary string to a base-10 integer by using your parse_binary function from above.
You can convert an integer to a character using the built-in chr function.

Challenge

Write a function that can embed messages into images. The function should take three parameters: a message, an input image file name, and an output image file name. It should read in the input image, modify the least significant bits of the color values to embed the message, and write the new image to the specified output file.

Submission

Please show your source code and run your programs for the instructor or lab assistant. Only a programs that have perfect style and flawless functionality will be accepted as complete.