Image forgery detection using QR method based on one dimensional cellular automata

Abstract

This paper tries to provide a reliable scheme for the image forgery detection. QR Decomposition is applied on the original image to extract the features of the image and then Robust Secret Key is generated by pushing those features into the cellular automata. QR Decomposition is used to decompose the image into two matrices namely orthogonal and upper triangular matrix. Robust Secret Key is used to protect the images against forgery. Our scheme is tested on images of size 512 × 512 and experimental results are compared with the existing techniques to illustrate the visual quality, robustness and reliability of the proposed scheme