Data hiding based on Fibonacci-Haar Transform

In this contribution, we present a novel technique for imperceptible and robust watermarking of digital images. It is based on the host image 2-th level decomposition using the Fibonacci-Haar Transform (FHT) and on the Singular Value Decomposition (SVD) of the transformed subbands. The main contributions of this approach are the use of the FHT for hiding purposes, the flexibility in data hiding capacity, and the key-dependent secrecy of the used transform. The experimental results show the effectiveness of the proposed approach both in perceived quality of the watermarked image and in robustness against the most common attacks.