Automatically Discriminating between Digital and Scanned Photographs

True digital photos and the digital images of scanned photographs have very different properties. The illumination pattern and palette of the two kinds of images are different. Being able to distinguish between them is important, as each of these should be handled during printing with a class-specific pipeline of image transformation algorithms, and misclassification results in detrimental imaging effects. This paper presents an automatic classifier to discriminate between the two sources. The classifier proposed is fast enough to be embedded in the driver of any printing device today.