1. A computer-implemented method for detecting a detail level of an image, the method comprising: receiving an original image; transforming the original image to generate one or more blurred images; deriving image differences corresponding to ranges of detail frequency of the original image based, at least in part, on the one or more blurred images and the original image; and determining, based, at least in part, on the image differences, a detail level value corresponding to the original image, wherein the act of determining the detail level value comprises: determining a ratio of a first value to a second value, wherein the first value is representative of image differences among high frequency components of the original image and the one or more blurred images, and wherein the second value is representative of image differences among low frequency components of the original image and the one or more blurred images.