Researchers at the Jaypee University of Information Technology in India say they have developed a method for detecting "copy-move forgery" in photographs that is more successful and faster than conventional methods.
The researchers sped up the process by converting an image into its binary form, so each pixel in the image is either black or white, with black representing parts of objects in the image and white representing the background.
The researchers developed an algorithm that translates each black pixel in the image into a position on a histogram. The copied parts of the image will have the same profile in the histogram as an original object in the image, appearing in the shape of a repeated "valley" in the histogram.
The researchers tested the new method on more than 20 forged images of various sizes and found there is "tremendous improvement" in the computation time, especially for larger images.
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