Color Digital Watermarking Based on Amplitude Modulation and SVR
Yilin Bei, Shengju Sang · Journal of Communication and Computer · 2010
Digital watermarking is an effective method to solve problems of information security and copyright protection. In this paper, a color image watermarking method with blind detection based on amplitude modulation and support vector regression is presented. On the basis of the visual masking of human visual system, the embedded positions are chosen adaptively. Basically, the watermark was embedded by modifying the pixel values in the blue channel of an image, while the watermark retrieval is achieved by using a prediction technique based on support vector regression model. The model is trained by learning the relationship between the selected pixel and statistical feature of neighboring area. The technique of Gaussian weighting marks by averaging the luminance of its own pixel and its neighboring pixels is used as an additional scaling factor to tune the strength of embedding watermark. Experimental results show that the presented scheme is invisible and robust against various processing such as cropping, compression, filtering, noise adding, image enhancement and geometrical attacks.