A Novel HDR Image Zero-Watermarking Based on Shift-Invariant Shearlet Transform

A Novel HDR Image Zero-Watermarking Based on Shift-Invariant Shearlet Transform
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DOI:
10.1155/2021/6662700
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发表时间:
2021
期刊:
Secur. Commun. Networks
影响因子:
--
通讯作者:
Sha Shi;Ting Luo;Jiangtao Huang;Meng Du
Sha Shi;Ting Luo;Jiangtao Huang;Meng Du
中科院分区:
其他
文献类型:
--
作者:
Sha Shi;Ting Luo;Jiangtao Huang;Meng Du

文献摘要

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提出了一种新的抗色调映射攻击的高动态范围(HDR)图像零水印算法。为了提取稳定不变的特征,实现鲁棒零水印,采用平移不变剪切波变换(SIST)对HDR图像进行变换。首先,将HDR图像转换为CIELAB色彩空间,选择L分量进行SIST,获得包含图像鲁棒结构信息的低频子带;其次,将低频子带分割成互不重叠的块,利用离散余弦变换(DCT)和奇异值分解(SVD)对其进行变换,得到最大奇异值,构建二值特征图像;为了提高水印的安全性,采用混合混沌映射(HCM)来获取置乱后的水印。最后,在二值特征图像和置乱水印之间进行异或运算,计算鲁棒零水印。实验结果表明,该算法具有良好的抗色调映射和其他图像处理攻击的能力。
In this paper, a novel high dynamic range (HDR) image zero-watermarking algorithm against the tone mapping attack is proposed. In order to extract stable and invariant features for robust zero-watermarking, the shift-invariant shearlet transform (SIST) is used to transform the HDR image. Firstly, the HDR image is converted to CIELAB color space, and the L component is selected to perform SIST for obtaining the low-frequency subband containing the robust structure information of the image. Secondly, the low-frequency subband is divided into nonoverlapping blocks, which are transformed by using discrete cosine transform (DCT) and singular value decomposition (SVD) to obtain the maximum singular values for constructing a binary feature image. To increase the watermarking security, a hybrid chaotic mapping (HCM) is employed to get the scrambled watermark. Finally, an exclusive-or operation is performed between the binary feature image and the scrambled watermark to compute robust zero-watermark. Experimental results show that the proposed algorithm has a good capability of resisting tone mapping and other image processing attacks.