An Adaptive Semi-fragile Watermarking Algorithm Based on Wavelet Low Frequency Coefficients

作者: Ying Jun , Liu Qing , Liu Chao

DOI: 10.1007/978-3-642-31698-2_143

关键词:

摘要: In this article, a new adaptive semi-fragile watermarking algorithm based on low frequency coefficients of discrete wavelet transform is proposed. With the transform, are classified into two classes, one class corresponds to image strong texture region, other weak region. According result classify, A binary watermarked logo scrambled by Arnold and embedded through quantization modulation. Experimental results show that high imperceptibility provided as well higher robustness against common signal processing attacks, such JPEG compression, adding noise. At same time, it can also detect location any minute changes for authentication; be widely used in practice.

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