IC210 Fall 2007
Programming Project 2
Note: this project relies on material covered in classes “Arrays & Pointers I” to “Arrays and Pointers IV”. If you wish, you may read ahead if you want to get a head start on the project. Note though that you can do the basic menu without any of this array material.
Pre-Coding Analysis: Due by “close of business” on
Flowcharts may be either neatly hand-drawn or using the RAPTOR tool. Don’t worry at this point details on how the array is passed to your function (or returned), but on what the function needs to do to create/manipulate the array. Make sure that your flowchart clearly shows how you intend to solve the conceptually difficult parts of the project. Note that you DO NOT have to actually code up the solution as part of the Pre-Coding Analysis.
1. Note that this Pre-Coding Analysis is NOT a routine out-of-class assignment, but rather is part of the project and therefore subject to the Department's policy concerning programming projects.
2. Recall that the Department’s policy states that for a programming project “midshipmen may give no assistance whatsoever to any person and may receive no assistance whatsoever from any person other than the midshipman’s instructor for the course assigning the project.” Please view http://www.usna.edu/CS/academics/ProgrammingPolicy.pdf for additional details on this issue.
Images on a computer are not stored in the same way that images on film are stored. A photographic image is a recording of the visible light reflected from the objects in the camera's field of view which is then saved to film through a chemical reaction between the light and the film. A digital camera also stores the light reflected from objects within its field of view. The difference is the manner in which the image is stored and displayed. A digital image, whether taken by a digital camera or scanned from a film reproduction, is displayed as a series of pixels (picture element), individual points capable of displaying one color or light intensity at a time. This information is then stored in a computer’s memory as an array of numerical values, representing each pixel’s color.
For this project, you will write a program that is capable of loading an image, performing various manipulations on the image, collecting important image statistics, and saving the image to disk. All of these features will be implemented through a menu system with the various tasks performed by functions that your main() function will call.
Due Dates and Honor
The Pre-Coding Analysis will be due by the “close of business”
on Thurs Oct 18. The project will be due by the “close of business” on
Again, this is a Programming Project, and it is very important that you understand and abide by the Department's policy concerning programming projects. Please view: http://www.usna.edu/CS/academics/ProgrammingPolicy.pdf
For this project you will be loading and manipulating a grayscale .pgm (Portable Gray Map) image. The Portable Gray Map image format is the lowest common denominator grayscale file format. It is designed to be extremely easy to learn and write programs for. Consider the following test image:
Figure 1. A 10x10 Pixel Image Shown with an Image Viewing Application
This image is described by a text file that looks like this if viewed by WordPad:
Figure 2. The Same 10x10 Image Viewed Using WordPad
The simplicity of the .pgm format is due to how the image information is stored. Like the .wav file from Project 1, the .pgm image file consists of two parts: a simple header and the individual pixel values. The header and data fields are saved in a file in their ASCII form which makes reading, manipulating, and saving the file relatively easy.
The file format definition is shown below. Compare this with the file shown in Figure 1:
1. A “magic number” which identifies the file type. A .pgm’s magic number is “P2” (yeah, we know it’s not really a number, but that’s what it’s called).
2. Whitespace (blanks, TABs, CRs, LFs).
3. The image’s width, in pixels, formatted in ASCII (in this case, 10).
5. The image’s height, in pixels, formatted in ASCII (in this case, 10).
7. The maximum gray value (Maxval), formatted in ASCII. Must be less than 65536 and greater than zero. Usually, Maxval is 255. For this project assume your Maxval is 255.
8. A single whitespace character, usually a newline.
Take time now to look at Figure 2 and make sure you understand why it produces an image that looks like Figure 1!
Our PGM format only handles different shades of gray. More complex formats handle color, usually by providing more than one number for each pixel, to represent the amount of red, green, and blue in each pixel (RGB).
The project is divided up into several functions, worth varying number of points, not strictly based on difficulty. You are strongly encouraged to solve each function - including thorough testing. Your maximum grade will depend upon which functions you get working.
All of your program’s functionality will be implemented via function calls, with your main() function serving primarily as central hub with some sort of selection structure calling the functions that implement the required functionality. The user should be able to continue selecting options until he chooses to quit.
You will be able to use any appropriate picture you wish. You can use the i_view32.exe program included with this project to convert a .jpg, .gif, or most other image formats into a .pgm file. You can also use i_view32 to view the results of your program.
To convert an image to a .pgm for use in your program follow these instructions:
Figure 3 An Example Image
Function 0: (10 pts.) Display menu.
Using a function, print a menu to the screen and return the user’s menu selection to the main() function. The menu should include a selection option for all the features your program is capable of; as well as a quit option.
Figure 4 A Sample Menu. Options are not shown in the order that you will do them.
Function 1: (20 pts.) Load Image.
This function should:
Function 2: (15 pts.) Save Image.
Save your image in a properly formatted .pgm file. The function should be passed all the required data and then prompt the user for the name of the file he wishes to save the image in. The save file should be saved in the format described in the Extra Information section.
Be sure to close the file, using .close() command, once your program is done writing to the file and before returning to the main()function.
Function 3: (15 pts.) Display Image Properties.
This function will display to the screen the total number of pixels, the minimum and the maximum pixel value. Additionally, you will calculate and display the average pixel value.
Figure 5 Image statistics for example.pgm
Function 4: (15 pts.) Create the Image Negative.
Write a function that creates the image negative. In other words black become white and vice versa. For example the negative of the following pixel values:
0 185 166 133 83 76 90 255
255 70 89 122 172 179 165 0
Figure 6 The negative of example.pgm
Note: the remaining functions are somewhat more challenging. Start early!!
Function 5: (10 pts.) Flip the Image along the Vertical Axis.
Write a function which flips the image along a vertical line through the middle of the image. In other words the left side of the image will become the right and the vice versa.
Figure 7 example.pgm flipped along the vertical axis
Hint: Get Function 5 to work first and then apply what you’ve learned to get Function 6 to work.
Function 6: (10 pts.) Flip the Image along the Horizontal Axis.
Write a function which flips the image along a horizontal line through the middle of the image. In other words the top of the image will become the bottom and the bottom will become the top.
Figure 8 example.pgm flipped along the horizontal axis
Function 7: (Extra Credit – 4 pts.) Insert a Secret Message within the Image.
Steganography is the art and science of writing hidden messages in such a way that no one apart from the intended recipient knows of the existence of the message. A very common form of steganography is to hide a message in an image by changing the least significant bit of eight pixels to represent a single bit of an ASCII character.
Conceptually speaking, if you wanted to hide the character ‘M’ (ASCII = 77, binary = 01001101) in an image with the following pixel values:
221 221 220 218 218 190 189 173
You would encode it by transforming each pixel value into its binary representation and then substituting the corresponding bit from the message into the least significant bit position. Note that the bits that are changed are underlined.
221 = 11011101 à 0 = 11011100 = 220
221 = 11011101 à 1 = 11011101 = 221
220 = 11011100 à 0 = 11011100 = 220
218 = 11011010 à 0 = 11011100 = 218
218 = 11011010 à 1 = 11011011 = 219
190 = 10111110 à 1 = 10111111 = 191
189 = 10111101 à 0 = 10111100 = 188
173 = 10101101 à 1 = 10101101 = 173
Write a function that asks the user for a text file. Assume the file being encoded is relatively small and you do not need to check to ensure the picture is large enough. Your function will then encode the message in the image. Encode an ETX (end of text) character (ASCII value = 3) to signal the end of your message.
Figure 9 There's a hidden message in here. Can you see it?
Hint: Use the .get() function to ensure that you encode the whitespace properly.
Function 8: (Extra Credit – 3 pts.) Retrieve a Secret Message from the Image.
The .pgm image included as a sample has a message hidden within it. The message is encoded in the manner described in Function 7. Write a function that is capable of retrieving messages hidden in an image and saving it in a text file defined by the user. Do not output the ETX character to the output file.
Function 9: (Extra Credit – 3 pts.) Blur the Image.
In this blurring scheme each pixel will be replaced with the average value of the pixel itself, as well as the pixel that came before it and the pixel that comes next in the array. For example if the array goes from 0 to N the ith pixel will be replaced with the value, (A[i-1] + A[i] + A[i +1])/3. For the end cases weight the 0th and Nth double. In other words, the 0th pixel is blurred by with the value, (A + A + A)/3, and the Nth pixel is blurred with the value, (A[N-1] + A[N] + A[N])/3.
Figure 10 example.pgm after quantization
Hint: Be sure to use the original pixel values when quantizing.
What to submit and how it will be graded
You will submit a single solution to that is capable of executing all of the functions that you implemented. You will indicate on your coversheet which functions you have implemented and wish to be graded.
Note: If a function you submit for grading does not work as it should the grading penalties will be substantial. Make sure that any function you submit for grading works properly.
The pre-coding analysis is worth 5 points. The project is worth 100 points and the maximum grade you can earn is based on the summation of the pre-coding analysis and the points for each function that you submit and that works correctly.
The grading breakdown is as follows:
Total 100 pts.
Important grading points:
· Your program should work for any valid .pgm file (not just the one you test with)
· Appropriate use of functions to implement the program is critical to receiving the maximum possible score.
· If your program does not compile as submitted, you will receive a zero.
· If your program does not give correct results, penalties will be substantial. If you can't get a function to work properly, do not submit it for grading.
· Your program must read input and write output in the exact format specified in this project description.
· Your program’s source code must comply with the Required Style Guide in order to maximize the grade you receive on this project.
· Your grade will also depend on the reasonable use of C++ code. Don’t use 50 lines of code where 5 would do.
There will be both a paper and an electronic part to your submissions. The paper submission can be handed to your instructor in class, slid under their office door, or put in their mailbox. For the purposes of any late penalties, your project is not considered submitted until your instructor receives BOTH the electronic and paper portions of your submission.
Electronic submission: Unless otherwise specified by your instructor, your electronic submission should be a single email message with title “IC210 Project 2 Submission”. Include in this email:
If you have any questions, send a separate message with a different subject.
In addition, you will submit a hard copy of your source code, a screen shot of your original image as well as a screen shot of the results for each implemented function your program is capable of. Attach the Project 2 cover sheet to your project ensuring that you note on the sheet which of the functions you implemented and want graded.
(continued on next page)
Paper submission: staple in this order:
HINTS etc. added since paper copy distributed:
11 12 13 14
111 112 113 114
211 212 213 214
You will likely want to compute the array index, given the row and col of a pixel in the image. Examples: