Changes

I am using the [http://www.dreamincode.net/forums/topic/76816-image-processing-tutorial/ Image Processor] code that Natalia found as the source code to find the CUDA optimization possibilities. The image processor includes various functions like displaying image, getting sub image, enlarge image, shrink image, reflect image, translate image, image rotation and image negative. The application uses lots of for looping to achieve its goal and this provide an opportunity to use the GPU to achieve output much faster and hence enhancing the application performance. Most of the code follows O(n2) notation with nested loops that can be paralleled using GPU and CUDA code.