Installation Wizards

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Installation Wizards

Team Members

1. Matthew Bell
2. Kevin Ramsamujh

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Image Processing

Much like previous students who have taken this course, we decided to look over image processing (leveraging Christopher Ginac's PGM parser http://www.dreamincode.net/forums/topic/76816-image-processing-tutorial/ ).

For our profiling we scale an image up 10 times to better profile larger data sets, as our source image was only ~800kb in size. We then negate the image, and then reflect it.

The time taken to perform all 3 operations:

real    0m22.057s
user    0m4.584s
sys     0m14.221s

The results of our tests:

Flat profile:
Each sample counts as 0.01 seconds.
  %   cumulative   self              self     total
 time   seconds   seconds    calls   s/call   s/call  name
 42.92      6.70     6.70        3     2.23     2.23  Image::operator=(Image const&)
 29.15     11.25     4.55        2     2.27     2.27  Image::Image(int, int, int)
 15.31     13.64     2.39        1     2.39     2.39  Image::Image(Image const&)
  4.04     14.27     0.63                             writeImage(char*, Image&)
  2.56     14.67     0.40                             Image::negateImage(Image&)
  2.37     15.04     0.37 86832000     0.00     0.00  Image::getPixelVal(int, int)
  2.18     15.38     0.34                             Image::reflectImage(bool, Image&)
  1.47     15.61     0.23                             Image::enlargeImage(int, Image&)
  0.00     15.61     0.00   868320     0.00     0.00  Image::setPixelVal(int, int, int)
  0.00     15.61     0.00        3     0.00     0.00  Image::~Image()
  0.00     15.61     0.00        1     0.00     0.00  _GLOBAL__sub_I__ZN5ImageC2Ev
  0.00     15.61     0.00        1     0.00     0.00  _GLOBAL__sub_I_main
  0.00     15.61     0.00        1     0.00     0.00  Image::getImageInfo(int&, int&, int&)

As we can see, negating the image as well as reflecting and enlarging it are all costly operations, and we believe that we can optimize it to take far less time.