LAUSR

Reversible image authentication scheme is a technique that detects tampered areas in images and allows them to be reconstructed to their original version without any distortion. In this paper, we propose a new, reversible, image authentication scheme based on prediction error expansion for digital images. The proposed scheme classifies the host image into smooth blocks and complex blocks according to the distribution characteristics. Then, authentication code that is generated by a pseudo random number generator with a seed is embedded adaptively into each image block. Our experimental results demonstrated that the proposed scheme obtained good tamper detection and preserved the high image quality of the embedded image. In addition, the proposed scheme achieved reversibility, which is needed for some special applications, such as fine artwork, military images, and medical images.