A Robust Binary Image Watermarking Based on Wavelet Domain and Krawtchouk Moments

The binary images are two values and have very limited capability in data hiding. In order to improve the robustness and invisibility of watermarkings embedded into the binary images, a novel watermarking scheme is presented, which is based on discrete wavelet transformation (DWT). The original watermarking signals are embedded into the lowest frequency sub-band of the wavelet domains. In addition, combined with the technique of encryption, the extracted Krawtchouk moment invariants of the watermarked binary images which are featured excellent invariance properties, are used to gain the robustness of the embedded watermarkings. The watermarkings can be well extracted without the original host images. The invisibility and robustness of the proposed scheme are demonstrated by the simulations, such as Gaussian noise, JPEG compression and some geometric attacks.