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一种结合离散余弦变换(DCT)、离散傅里叶变换(DFT)和奇异值分解(SVD)变换的有效数字图像水印方案。

An effective digital image watermarking scheme incorporating DCT, DFT and SVD transformations.

作者信息

Varghese Justin, Bin Hussain Omer, Subash Saudia, T Abdul Razak

机构信息

Department of Computer Science & Engineering, GITAM School of Technology, GITAM (Deemed to be University), Bangaluru, Karnataka, India.

Department of Computer Science, Jamal Mohamed College, Affiliated to Bharathidasan University, Tiruchirappalli, Tamil Nadu, India.

出版信息

PeerJ Comput Sci. 2023 Jul 10;9:e1427. doi: 10.7717/peerj-cs.1427. eCollection 2023.

Abstract

Image watermarking prevents copyright infringements by attaching visible/invisible watermark images as authentication identities in the owner's documents. The article made analysis on the advantages of different transformations for choosing better combinations to make the watermark embedding process and observed that watermarking techniques incorporating discrete cosine transform (DCT) provide better resistance towards JPEG based potential attacks, discrete Fourier transform (DFT) has strong energy compaction with geometrical invariance properties to resist geometric attacks while singular value decomposition (SVD) provides stability, proportion invariance and rotation invariance properties and it provides strong resistance against noise based attacks. Considering these advantages of different transformations, the article presents a new non-blind watermarking algorithm by utilizing advantages of DFT, DCT and SVD transforms while attaching secret contents in cover images. The algorithm starts by applying DFT followed by onion peel decomposition (OPD) for decomposing Fourier domain carrier image to four frequency sub images. The scheme then applies DCT on the frequency bands and orders them in zigzag fashion to form four individual frequency arrays. In the final step of embedding process, it embeds four copies of watermark singular value contents in DFT domain with the carrier image singular value contents to produce the watermarked image. The experimental results based on subjective and objective metrics on various test images from standard image databases with different test conditions demarcate the stability of new algorithm in producing high quality watermarked images with fewer distortions even when the watermarked images are extremely distorted by potential attacks.

摘要

图像水印通过在所有者文档中附加可见/不可见水印图像作为认证标识来防止版权侵权。本文分析了不同变换的优点,以便选择更好的组合来进行水印嵌入过程,并观察到结合离散余弦变换(DCT)的水印技术对基于JPEG的潜在攻击具有更好的抵抗力,离散傅里叶变换(DFT)具有强大的能量压缩和几何不变性以抵抗几何攻击,而奇异值分解(SVD)提供稳定性、比例不变性和旋转不变性,并且对基于噪声的攻击具有很强的抵抗力。考虑到不同变换的这些优点,本文在将秘密内容嵌入载体图像时,利用DFT、DCT和SVD变换的优点,提出了一种新的非盲水印算法。该算法首先应用DFT,然后进行洋葱皮分解(OPD),将傅里叶域载体图像分解为四个频率子图像。然后该方案对频带应用DCT,并以之字形方式对其进行排序以形成四个单独的频率数组。在嵌入过程的最后一步,它将水印奇异值内容的四个副本与载体图像奇异值内容一起嵌入DFT域,以生成水印图像。基于来自标准图像数据库的各种测试图像在不同测试条件下的主观和客观指标的实验结果表明,即使水印图像受到潜在攻击而严重失真,新算法在生成高质量、失真较少的水印图像方面仍具有稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c370/10403172/1e89339dae88/peerj-cs-09-1427-g001.jpg

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