Color digital watermark based on amplitude modulation and SVR
基于支持向量机的彩色图像水印算法

A color image watermarking method with blind detection based on amplitude modulation and support vector regression was presented in this paper. On the basis of the visual masking of human visual system, the embedded positions were chosen adaptively. Basically, the watermark was embedded by modifying the pixel values in the blue channel of an image, while the watermark retrieval was achieved by using a prediction technique based on support vector regression model. The model was 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 was 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.