The Discrete Cosine Transform offers a convenient method for compressing images in an efficient manner with little image degradation. Images are represented by an array of pixels, each pixel having a characteristic number that determines the color at that location. Through image compression, we are able to create a mostly sparse matrix that contains almost all of the information about the original image, which we can then use to build a new image almost indistinguishable from the original. In order to explore image compression, I chose two different images, one that I rendered black and white, and one that I kept in its full color splendor. The images can be seen below.