Image Authentication Using Added Signal-Dependent Noise

Image authentication has applications in security systems, photo forensics, and photo journalism. This paper presentsan image authentication scheme using added signal-dependentnoise. Imperceptible noise is embedded into the image at the timeof acquisition according to the film grain noise model. During authentication,the image is divided into key-dependent overlappingblocks and the parameters of the embedded noise are extracted.The variance of the extracted parameters can be used to show theauthenticity of an image. Test results indicate that the proposedalgorithm is robust against content-preserving modifications suchas JPEG compression and at the same time is capable of detectingmalicious tampering