Improved Data Embedding Method for Digital Image with Human Visual Systems

Abstract

In this paper, we consider a data-embedding method in the discrete wavelet transform (DWT) domain of the digital images. A bit-pattern embedding method with Human visual system (HVS) and correlation-based detection have been proposed by Kino and Wada based on the watermarking scheme, which is referred to as the conventional method. In the conventional method, the capacity of embedding data depends on the ‘potential’ correlation between the DWT coefficients of the host image and watermark signal. We propose the new embedding and detection algorithm without affected by the ‘potential’ correlation in order to increase the capacity of embedding data. The data-embedding and detection in the proposed method are performed by considering the absolute value of the correlation between the watermarked DWT coefficients and watermark signal. In the simulation, we show that the capacity of the embedding data in the proposed method is increased as compared with the conventional method under the same PSNR value (image quality).