A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm

Lang, Fangnian; Zhou, Jiliu; Cang, Shuang; Yu, Hongnian; Shang, Zhaowei

doi:10.1016/j.eswa.2012.03.070

Cited by 23 publications

(8 citation statements)

References 35 publications

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“…In most frequency domain methods, the watermark is commonly embedded in the modified frequency coefficients; therefore, it is critical to select the appropriate frequency coefficients. For example, Lang et al used the quaternion PCA high‐frequency coefficients to extract the feature image to support watermark embedding . Wang et al proposed a DCT‐based method to put the watermark in the middle frequency coefficients and make the watermark insertion process nearly lossless .…”

Section: Methodsmentioning

confidence: 99%

“…For example, Lang et al used the quaternion PCA high-frequency coefficients to extract the feature image to support watermark embedding. 38 Wang et al proposed a DCT-based method to put the watermark in the middle frequency coefficients and make the watermark insertion process nearly lossless. 39 Lei et al embedded the watermark in the singular values of low-frequency coefficients based on QWT to improve watermark robustness.…”

Section: Watermark Embeddingmentioning

confidence: 99%

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Digital watermarking scheme for colour remote sensing image based on quaternion wavelet transform and tensor decomposition

Che

Luo

et al. 2019

Math Methods in App Sciences

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Digital watermarking is important for protecting the intellectual property of remote sensing images. Unlike watermarking in ordinary colour images, in colour remote sensing images, watermarking has an important requirement: robustness. In this paper, a robust nonblind watermarking scheme for colour remote sensing images, which considers both frequency and statistical pattern features, is constructed based on the quaternion wavelet transform (QWT) and tensor decomposition. Using the QWT, not only the abundant phase information can be used to preserve detailed host image features to improve the imperceptibility of the watermark, but also the frequency coefficients of the host image can provide a stable position to embed the watermark. To further strengthen the robustness, the global statistical feature structure acquired through the tensor Tucker decomposition is employed to distribute the watermark's energy among different colour bands. Because both the QWT frequency coefficients and the tensor decomposition global statistical feature structure are highly stable against external distortion, their integration yields the proposed scheme, which is robust to many image manipulations. A simulation experiment shows that our method can balance the trade‐off between imperceptibility and robustness and that it is more robust than the traditional QWT and discrete wavelet transform (DWT) methods under many different types of image manipulations.

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Section: Methodsmentioning

confidence: 99%

Section: Watermark Embeddingmentioning

confidence: 99%

Digital watermarking scheme for colour remote sensing image based on quaternion wavelet transform and tensor decomposition

Che

Luo

et al. 2019

Math Methods in App Sciences

View full text Add to dashboard Cite

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“…They have already been successfully employed in color image registration [25], image analysis [26][27][28][29][30] and watermarking [31][32][33]. Recently, quaternion discrete Fourier transform (QDFT) was used to generate image hashing and applied to image retrieval [34].…”

Section: Others Image Hashing Methodsmentioning

confidence: 99%

Robust hashing for image authentication using quaternion discrete Fourier transform and log-polar transform

Ouyang

Coatrieux

Hu³

2015

Digital Signal Processing

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International audienceIn this work, a novel robust image hashing scheme for image authentication is proposed based on the combination of the quaternion discrete Fourier transform (QDFT) with the log-polar transform. QDFT offers a sound way to jointly deal with the three channels of color images. The key features of the present method rely on (i) the computation of a secondary image using a log-polar transform; and (ii) the extraction from this image of low frequency QDFT coefficients' magnitude. The final image hash is generated according to the correlation of these magnitude coefficients and is scrambled by a secret key to enhance the system security. Experiments were conducted in order to analyze and identify the most appropriate parameter values of the proposed method and also to compare its performance to some reference methods in terms of receiver operating characteristics curves. The results show that the proposed scheme offers a good sensitivity to image content alterations and is robust to the common content-preserving operations, and especially to large angle rotation operations

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“…The covariance matrix could be directly computed from the matrix rather than the vector. Furthermore, these methods have asymptotically minimum memory requirements and lower time complexity than LDA [8] or PCA [9][10].…”

Section: Introductionmentioning

confidence: 99%

PE-Based Watermarking Scheme for Color Images

Chang

Huang

Pan

2014

2014 International Symposium on Computer, Consumer and Control

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Recently, most methods of data hiding focused on perfect embedding. On the contrary, the watermarking techniques concentrated on better extraction. In this paper, the schemes of reversible data hiding and watermarking extraction are combined for color images watermarking. As a result, an improved Prediction-error (PE) watermark embedding based on Integer Haar Discrete Wavelet Transform (IHDWT) is proposed. During the extraction stage, two-dimensional Principal Component Analysis (2DPCA) is applied for blind watermark extraction. The experimental results have shown that our method can embed and extract the watermark accurately and can still resist against various attacks efficiently.

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A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm

Cited by 23 publications

References 35 publications

Digital watermarking scheme for colour remote sensing image based on quaternion wavelet transform and tensor decomposition

Digital watermarking scheme for colour remote sensing image based on quaternion wavelet transform and tensor decomposition

Robust hashing for image authentication using quaternion discrete Fourier transform and log-polar transform

PE-Based Watermarking Scheme for Color Images

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