Digital image watermarking using GenLOT

In this paper we present a low frequency image adaptive watermarking scheme. Using the GenLOT transform for image decomposition in the watermarking scheme we obtain higher energy compaction in the low frequency coefficients. As a result, we improve the robustness of operations that remove high frequency components. In order to embed the watermark with minimum loss in image fidelity, a visual mask based on local image characteristics, such as textures and edges, is incorporated in the watermarking algorithm. Experimental results show that the proposed scheme is robust against DCT and DWT based compression and common image processing operations.