A New Singular Value Decomposition Watermarking Algorithm Based on Directionlet

Liu, Jing; Ma, Douli; Yang, Yajie

doi:10.1109/cisp-bmei.2018.8633024

Cited by 1 publication

(1 citation statement)

References 13 publications

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“…Aiming at the anti-rotation attack problem of color image watermarking algorithm, a color image watermarking algorithm based on Directionlet transform and SVD transform is studied by Liu et al [24]. Since human vision is not sensitive to the blue component of the color image, the algorithm extracts the blue component of the RGB color image as the watermark embedding object; uses the Canny operator to extract the blue component edge, Hough transform to detect the edge line, and uses its slope as the Directionlet Transform the transformation direction, select the appropriate sampling matrix and transformation times to perform the Directionlet transformation on the blue component image; perform SVD decomposition on the low-frequency subband image obtained after the transformation, and quantize the singular values in the singular matrix to obtain the blue watermarking information.…”

Section: Chaotic Encryptionmentioning

confidence: 99%

New watermarking algorithm utilizing quaternion Fourier transform with advanced scrambling and secure encryption

Bhatti

Yuan

et al. 2021

Multimed Tools Appl

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Digital watermarking technology, as a powerful tool for copyright protection and content authentication of multimedia works, has received increasing attention, and the current image watermarking technology has developed significantly. Generally, embedding a watermark is done in grayscale images, mainly due to the fact that grayscale images are easier to process than color images, and grayscale images only contain brightness information and color-free information, in which an embedded watermark will not produce new color components. In real life, however, color images are more common than grayscale image information. To improve the security of the watermark information and the ability to embed the location and improve the security of the algorithm against a variety of attacks, this paper proposes an algorithm based on quaternion Fourier transform (QFT) with chaotic encryption and Arnold scrambling. Geometric Algebra (GA) can process color images in the form of vectors, and each component of Red,Green and Blue (RGB) should be processed separately. We utilized quaternion (which is a subalgebra of GA) and effectively completed color image processing by utilizing Fourier transform. After utilizing QFT, each component was made more secure by scrambling the pixels of the watermark and performing encryption utilizing chaotic sequencing. Different types of results utilizing Mean Square Error (MSE),Peak Signal to Noise Ratio (PSNR),Structure Similiarity Index Metric (SSIM), etc. were computed to verify the performance of our proposed algorithm and show that the robustness and security are high by utilizing our method.

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Section: Chaotic Encryptionmentioning

confidence: 99%