Image Watermarking Scheme Based on DWT-DCT and SSV

Zhi, Zhang; Wang, Chengyou; Zhou, Xiao

doi:10.14257/ijsia.2016.10.10.18

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…The SSVD [37] was developed on the basis of the standard SVD. Different from the SVD, SSVD adds a scrambling process, which can be expressed as Y =Ŝ {X}, where X is the input image, Y is the scrambled image, andŜ is the shuffled operator.…”

Section: Ssvdmentioning

confidence: 99%

A Robust Color Image Watermarking Algorithm Based on APDCBT and SSVD

Wang

Zhou

2019

Symmetry

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With the wide application of color images, watermarking for the copyright protection of color images has become a research hotspot. In this paper, a robust color image watermarking algorithm based on all phase discrete cosine biorthogonal transform (APDCBT) and shuffled singular value decomposition (SSVD) is proposed. The host image is transformed by the 8 × 8 APDCBT to obtain the direct current (DC) coefficient matrix, and then, the singular value decomposition (SVD) is performed on the DC matrix to embed the watermark. The SSVD and Fibonacci transform are mainly used at the watermark preprocessing stage to improve the security and robustness of the algorithm. The watermarks are color images, and a color quick response (QR) code with error correction mechanism is introduced to be a watermark to further improve the robustness. The watermark embedding and extraction processes are symmetrical. The experimental results show that the algorithm can effectively resist common image processing attacks, such as JPEG compression, Gaussian noise, salt and pepper noise, average filter, median filter, Gaussian filter, sharpening, scaling attacks, and a certain degree of rotation attacks. Compared with the color image watermarking algorithms considered in this paper, the proposed algorithm has better performance in robustness and imperceptibility.

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Section: Ssvdmentioning

confidence: 99%

A Robust Color Image Watermarking Algorithm Based on APDCBT and SSVD

Wang

Zhou

2019

Symmetry

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“…To give more detailed results, the Airplane image and Shandong University logo are taken as examples for further demonstration. Table 2 indicates the PSNR and NC comparison among methods proposed by Jain et al [30], Zhang et al [31], Fzali and Moeini's scheme [32], and the proposed algorithm. In [30], principal components of the watermark are embedded into the host image.…”

Section: Performance Comparisonsmentioning

confidence: 99%

“…In [30], principal components of the watermark are embedded into the host image. In [31], the watermark is scrambled by shuffled SVD (SSVD), and principal components are extracted for watermark embedding. In [32], the watermark is embedded into singular values of the DCT coefficients matrix, which is derived from four segmented sub-images in the DWT domain.…”

Section: Performance Comparisonsmentioning

confidence: 99%

Feature-Based Image Watermarking Algorithm Using SVD and APBT for Copyright Protection

Zhang

Wang

et al. 2017

Future Internet

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Watermarking techniques can be applied in digital images to maintain the authenticity and integrity for copyright protection. In this paper, scale-invariant feature transform (SIFT) is combined with local digital watermarking and a digital watermarking algorithm based on SIFT, singular value decomposition (SVD), and all phase biorthogonal transform (APBT) is proposed. It describes the generation process of the SIFT algorithm in detail and obtains a series of scale-invariant feature points. A large amount of candidate feature points are selected to obtain the neighborhood which can be used to embed the watermark. For these selected feature points, block-based APBT is carried out on their neighborhoods. Moreover, a coefficients matrix of certain APBT coefficients is generated for SVD to embed the encrypted watermark. Experimental results demonstrate that the proposed watermarking algorithm has stronger robustness than some previous schemes. In addition, APBT-based digital watermarking algorithm has good imperceptibility and is more robust to different combinations of attacks, which can be applied for the purpose of copyright protection.

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Image Watermarking Scheme Based on DWT-DCT and SSV

Abstract: Abstract

Cited by 2 publications

References 11 publications

A Robust Color Image Watermarking Algorithm Based on APDCBT and SSVD

A Robust Color Image Watermarking Algorithm Based on APDCBT and SSVD

Feature-Based Image Watermarking Algorithm Using SVD and APBT for Copyright Protection

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