LBP-SVD Based Copy Move Forgery Detection Algorithm

摘要

With the extensive use of sophisticated image editing software, it has become easy to manipulate digital images without any visually visible clue. Copy-move is a special type of image forgery performed by copying a part of the image and pasting anywhere else in the same image. We proposed a passive image authentication technique to determine the copy-move forgery. First, the method divides the image into overlapping blocks. It use LBP (Local Binary Pattern) to label each block. Then, the biggest N of SVD values are extracted on the labeled blocks. N SVD values plus average Y, Cb, Cr values constitutes the feature vector for the block. Finally, the feature vectors are lexicographically sorted and element-by-element similarity measurement is used to determine the forged blocks. Experiment results demonstrate commendable performance in image copy-move forgery detection.