The document discusses automating image comparison testing. It covers topics like what images are, different color spaces, advantages and disadvantages of image comparison, techniques for comparing two images like measuring color differences and using scale-invariant feature transform. Common problems with image comparison are also addressed, such as dealing with scale, as well as techniques like mean squared error and structural similarity to help resolve issues.