DWT-PCA (EVD) based copy-move image forgery detection

In a copy-move image forgery, a part of an image is copied and then pasted on a different location within the same image. Usually, such an image tampering is done with the aim of either hiding some image details, in which case a background is duplicated, or adding more details resulting in at least some feature being cloned. Whichever the case, image integrity is lost. In this paper we present an improved algorithm based on Discrete Wavelet Transform (DWT) and Principal Component Analysis- Eigenvalue Decomposition (PCA-EVD) to detect such cloning forgery. Furthermore, for academic purposes and via a simplified, toy image we demonstrate how such algorithm works in detecting cloning forgery. Experimental results show that the proposed scheme accurately detects such specific image manipulations as long as the copied region is not rotated or scaled.