Exhaustive study on post effect processing of 3D image based on nonlinear digital watermarking algorithm

IF 2.4 Q2 ENGINEERING, MECHANICAL
Chunhua Wang
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引用次数: 2

Abstract

Abstract In this work, an exhaustive study on post effect processing of three-dimensional (3D) image is carried to solve the problem of nonlinear digital watermarking algorithm. First, through the feature space decomposition method of the host image, the embedded watermark is constructed with the full row or column rank of the matrix, and then the public key is constructed by using the existence of the unitary matrix of the full row rank and column rank matrix, so that the algorithm can embed and extract the watermark in an asymmetric way. Watermark extraction correlation coefficient (ρ) value is 1. When the deformation amplitude of the model is slight and the noise intensity is σ = 0.0001, the watermark can be extracted successfully, and the watermark extraction correlation coefficient (ρ) is 0.92. In addition, the security of the algorithm is analyzed from many angles, the theoretical analysis is given, and verified by the experimental results. The proposed 3D watermarking methods are used to examine the information capacity of various 3D meshes. The 3D watermarking methods’ resistance to noise perturbation and object cropping is also investigated.
详细研究了基于非线性数字水印算法的三维图像后期效果处理
为了解决非线性数字水印算法的问题,本文对三维图像的后期效果处理进行了详尽的研究。首先,通过对宿主图像的特征空间分解方法,利用矩阵的满行秩或满列秩构造嵌入水印,然后利用满行秩和列秩矩阵的酉矩阵的存在性构造公钥,使算法能够以非对称方式嵌入和提取水印。水印提取相关系数(ρ)值为1。当模型变形幅度较小,噪声强度σ = 0.0001时,水印提取成功,水印提取相关系数(ρ)为0.92。此外,从多个角度对算法的安全性进行了分析,给出了理论分析,并通过实验结果进行了验证。提出的三维水印方法用于检测各种三维网格的信息容量。研究了三维水印方法对噪声扰动和目标裁剪的抵抗能力。
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来源期刊
CiteScore
6.20
自引率
3.60%
发文量
49
审稿时长
44 weeks
期刊介绍: The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.
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