ENTROPY-BASED IMAGE WATERMARKING USING DWT AND HVS

There are a lot of wavelet-based approaches in digital image watermarking literature. In these approaches, the main issue is selection method of wavelet sub-bands' coefficients and embedding algorithm. In this approach, an entropy-based method is proposed for non-blind watermarking of still gray level images using discrete wavelet transform. In our approach, we have also used the Discrete Wavelet Transform (DWT) feature and Human Visual System (HVS) characteristic in embedding phase of watermarking algorithm. In comparison with well-known DWT based methods and against the existence attacks in literature, it shows better performance. With simple modifications the method can be used for color images and in real time systems.