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Robust Secure and Blind Watermarking Based on DWT DCT Partial Multi Map Chaotic Encryption

机译:基于DWT DCT局部多图混沌加密的鲁棒安全盲水印。

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In this paper, a novel Commutative Watermarking and Partial Encryption (CWPE) algorithm based on Discrete Wavelet Transform and Discrete Cosine Transform (DWT-DCT) for watermarking and Multi-Map Wavelet Chaotic Encryption (MMW-CE) is proposed. The original host image is first decomposed into four sub-bands using (DWT), each sub-band coefficients are relocated using Arnold transform to create a noiselike version, then apply partial encryption scheme using chaotic scrambled random number pattern bitwise XOR with the scrambled horizontal coefficients only and the shuffled approximation coefficients are divided into non-overlapping and equal sized blocks. Watermark embedding process is based on extracting the (DCT) middle frequencies of the encrypted approximation coefficients blocks. Comparison based threshold of the extracted DCT mid-band coefficients, watermark bits are embedded in the coefficients of the corresponding DCT middle frequencies. The experimental results show that the proposed algorithm is robust against common signal processing attacks. The proposed algorithm is able to reduce encryption to one quarter of the image information. Statistical and differential analyses are performed to estimate the security strength of the proposed algorithm. The results of the security analysis show that the proposed algorithm provides a high security level for real time application.
机译:提出了一种基于离散小波变换和离散余弦变换(DWT-DCT)的水印加多图小波混沌加密(CWPE)算法。首先使用(DWT)将原始主机图像分解为四个子带,使用Arnold变换将每个子带系数重新定位以创建类似噪声的版本,然后使用混沌加扰的随机数模式按位XOR与加扰的水平方向应用部分加密方案仅系数和混洗后的近似系数分为非重叠和相等大小的块。水印嵌入过程基于提取加密的近似系数块的(DCT)中频。基于提取的DCT中带系数的基于阈值的比较,将水印位嵌入到相应的DCT中频的系数中。实验结果表明,该算法对常见信号处理攻击具有鲁棒性。所提出的算法能够将加密减少到图像信息的四分之一。进行统计和差分分析以估计所提出算法的安全强度。安全分析结果表明,该算法为实时应用提供了较高的安全级别。

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