Multiple adaptive digital watermarking method based on chaos and independent component analysis
一种基于混沌和独立成分分析的自适应多重数字水印算法

Based on chaotic sequences and independent component analysis(ICA),a novel multilevel image watermarking method was proposed in wavelet domain.Firstly,discrete wavelet transform(DWT) was applied to one subimage extracted from the original image according to one chaotic sequence label and multiple independent chaotic watermark signals were generated and embedded into the middle wavelet frequency coefficients adaptively.The watermarking was detected according to the Newman-Pearson criterion without the original image.Then ICA was applied to extract the watermarking if the watermarking are the original watermarking.Situational results demonstrate that this algorithm is an effective digital watermarking method with very outstanding robustness against many common attacks such as noise attacks,geometric operations and JPEG compression,and it solves the problems of multi-copyright claim in digital products.