A new reversible data hiding in transform domain

Abstract

Reversible watermarking is a technique permitting lossless data hiding. In such a method, the lossless recovering of both watermark and host image is essential. For some applications, such as medical imaging and military systems, it is so vital not only to recover the host image exactly but also to increase security. To obtain these goals, a new reversible watermarking scheme is presented. Since embedding in a transform domain improves security, the proposed method uses Reversible Walsh-Hadamard Transform (RWHT) to commute the host image. Afterward, Singular Value Decomposition (SVD) technique is performed on the transformed image for watermark embedding. For a full recovery, additional information is encoded using Quick Response (QR) code, which is embedded by a prediction-based method. To evaluate the performance of the proposed method, a set of comparative experiments is done. The obtained results confirm the effectiveness of the proposed method in both visual quality and capacity.