Color image ownership protection based on spectral domain watermarking using QR codes and QIM

Rosales-Roldan, Luis; Chao, Jinhui; Nakano-Miyatake, Mariko; Pérez-Meana, Héctor

doi:10.1007/s11042-017-5178-8

Cited by 15 publications

(11 citation statements)

References 23 publications

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“…Watermarking can be executed in a spatial domain [4,13,23,28,29] or a transform domain [3,[5][6][7][8][9][10][11][12]14,15,18,19,21,22,[24][25][26][27][30][31][32][33][34][35]. The spatial domain watermarking has high efficiency by modifying the pixels of the host images or frames directly to embed the watermark.…”

Section: Related Workmentioning

confidence: 99%

“…The spatial domain watermarking has high efficiency by modifying the pixels of the host images or frames directly to embed the watermark. In comparison, the transform domain watermarking modifies the coefficients obtained by transformation, such as the Discrete Cosine Transform (DCT) [8][9][10]18,19,21,22,24,26,30,31], Discrete Wavelet Transform (DWT) [7,11,12,14,[25][26][27]32,33], Singular Value Decomposition (SVD) [6,12,25,26], Discrete Multiwavelet Transformation (DMT) [3], Contourlet Transform [6], Dual-Tree Complex Wavelet Transform (DT CWT) [5,15,34], and so on. They possess better imperceptibility and robustness, but their computational complexity is higher than that of the spatial domain watermarking.…”

Section: Related Workmentioning

confidence: 99%

“…For solving the issues mentioned above, an adaptive quantization index modulation video watermarking algorithm against scaling attacks is presented, with the advantages of the DC coefficient [22,23] and the QRCode [3,[24][25][26][27]. The innovations of this paper are as follows:…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Video Watermarking against Scaling Attacks Based on Quantization Index Modulation

Huang

Guan

et al. 2021

Electronics

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Video watermarking plays a vital role in protecting the video copyright. The quantization-based methods are widely used in the existing watermarking algorithms, owing to their low computational complexity and completely blind extraction. However, most of them work poorly in resisting scaling attacks, by which the quantization value may fall outside the original quantization interval. For addressing this issue, an adaptive quantization index modulation method is proposed. The property that is associated with the ratio of the DC coefficient before and after scaling the video resolution motivates us to select the DC coefficient as the quantization value and set the size of the quantization interval by the video resolution to maintain the synchronization between them before and after scaling. Moreover, a strategy taking advantage of the high decoding reliability of the QRCode is proposed to terminate the extraction in advance, and both the embedding and the extracting process are performed in the spatial domain, which all contribute to further enhance the execution efficiency. The experimental results show that our algorithm outperforms the state-of-the-art method in terms of imperceptibility, robustness, and computational cost.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Video Watermarking against Scaling Attacks Based on Quantization Index Modulation

Huang

Guan

et al. 2021

Electronics

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show abstract

“…As a result, the watermarking technology for copyright protection of color images has gradually developed. Depending on the difference of the embedding locations, image watermarking can be divided into two categories: watermarking in the spatial domain [13][14][15] and watermarking in the transform domain [16][17][18][19][20][21][22][23][24][25][26][27][28]. Chou and Wu [13] embedded the color watermark image into the color host images uniformly by modifying the quantization indices of color pixels.…”

Section: Introductionmentioning

confidence: 99%

“…Li et al [24] proposed a novel color image watermarking scheme based on the quaternion Hadamard transform (QHT) and Schur decomposition. Rosales-Roldan et al [25] used SVD, DWT, and DCT to transform the luminance component of host images and embedded the watermark using the quantization index modulation (QIM). Roy and Pal [26] embedded the watermark into the luminance component of host images based on DWT and SVD.…”

Section: Introductionmentioning

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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Improving the Robustness of DCT-Based Handwritten Document Image Watermarking Against JPEG-Compression

Avila-Domenech

Taboada‐Crispi

2021

Progress in Artificial Intelligence and Pattern Recognition

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Color image ownership protection based on spectral domain watermarking using QR codes and QIM

Cited by 15 publications

References 23 publications

Adaptive Video Watermarking against Scaling Attacks Based on Quantization Index Modulation

Adaptive Video Watermarking against Scaling Attacks Based on Quantization Index Modulation

A Robust Color Image Watermarking Algorithm Based on APDCBT and SSVD

Improving the Robustness of DCT-Based Handwritten Document Image Watermarking Against JPEG-Compression

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