The Using of Gaussian Pyramid Decomposition, Compact Watershed Segmentation Masking and DBSCAN in Copy-Move Forgery Detection with SIFT

The case of image manipulation is rising, along with the growth of digital imaging development. One of the many dangerous image manipulation types is a copy-move forgery. In this manipulation, the user can cover some parts in images with another piece in the same picture. SIFT keypoint extraction is one of many methods used by many researchers to detect whether a digital photo is copy-move manipulation result or not. Usually, this keypoint extraction method had combined with other methods for improving its accuracy. This paper explained our experiment with Gaussian Pyramid Decomposition, Compact Watershed segmentation mask, and DBSCAN clustering in copy-move forgery with SIFT. This combination shows the average precisions at more than 78% and can detect in shorter average times.