A Hybrid Domain Color Image Watermarking Based on DWT–SVD

Roy, Soumitra; Pal, Arup Kumar

doi:10.1007/s40998-018-0109-x

Cited by 40 publications

(50 citation statements)

References 33 publications

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“…on the network become easy and inexpensive. Nowadays, the copyright protection of color images used for digital information has become the most pressing issue which detracted more attentiveness of researchers [11], [24]. Therefore, to protect the multimedia data, we must design a robust, secure, reliable, and efficient copyright protection scheme.…”

Section: Introductionmentioning

confidence: 99%

“…The inserted watermark data consists of different forms, including fingerprint or owner's identity, copyright messages, the license data, grayscale or color images, etc. [21], [24]. Watermarking schemes can be divided into various groups based on a different number of qualities [8], [26].…”

Section: Introductionmentioning

confidence: 99%

“…Watermarking is mainly based on the watermark insertion process which is performed in two key domains (such as spatial and frequency domains) [1], [12], [13]. The spatial domain modifies pixels of the cover image for watermarks embedding [1], [12], [24], [46]. Numerous spatial domainbased schemes like LSB, PVD, etc.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Optimized Semi-Blind Scheme for Color Image Watermarking

2020

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Image watermarking is a robust solution for solving key issues like copyright protection and proof of ownership of digital data. Existing schemes of image watermarking mostly used grayscale or binary images as embedded watermarks, while only a few watermarking schemes are developed for color images. In this paper, we propose a novel robust semi-blind image watermarking scheme based on finite ridgelet transform (FRT), discrete wavelet transform (DWT), singular value decomposition (SVD), particle swarm optimization (PSO), and Arnold transform to protect copyright and verify the authenticity of color images. Firstly, the color image is converted from RGB to YCbCr color space, and the luminance component (Y) is taken into account to insert the watermark data. In this study, the principal component (PC) of the watermark image is directly inserted into the corresponding singular value of the cover image by the scaling factor to avoid the false positive problem (FPP). To further improve security, Arnold transform is applied to process the Y channel of the watermark image before inserting it in the cover image. Besides, PSO optimizes the embedding factor matrices. The qualitative evaluation factors like peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) are used to assess the visual quality, while normalized correlation coefficient (NCC) is used to assess the resemblance between the watermarked and the restored watermarked images. The performance of the proposed scheme is evaluated using geometric, non-geometric, and combinational attacks, and its comparison is performed with different image watermarking schemes to prove its robustness.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Optimized Semi-Blind Scheme for Color Image Watermarking

2020

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“…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%

“…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. Vaidya and Mouli [27] used multiple decompositions, including DWT, contourlet transform (CT), Schur decomposition, and SVD, to embed the watermark into the luminance component of the host image.…”

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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A blind robust color image watermarking method based on discrete wavelet transform and discrete cosine transform using grayscale watermark image

Gül

2022

Concurrency and Computation

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With the rapid development of internet technology, digital images are easily accessed and tampered by unauthorized users. Therefore, copyright of color images has become an important challenge in nowadays. Robust color image watermarking methods have emerged to provide copyright. However, robust watermarking methods must satisfy the requirements such as robustness, imperceptibility, capacity, and security. Therefore, researchers are focused on methods using grayscale watermark instead of the binary watermark to increase capacity. Grayscale watermark based robust color image watermarking methods are mostly semi-blind and non-blind. However, these methods have limited utilization areas since the original image, original watermark, or side information is required. To address these drawbacks, we propose a blind robust color image watermarking method using grayscale watermark. In the proposed watermark embedding procedure, one-level discrete wavelet transform is performed on the Cb color component. Then, scrambled watermark pixels are hidden into coefficients of 4 × 4 discrete cosine transform (DCT) matrices of LL subband by using dividing-based new watermark embedding formula. In the watermark extracting procedure, watermark pixels are extracted from coefficients of DCT matrices by using dividing-based extracting formula. The performance is demonstrated against various attacks and experimental results indicate that the presented method ensures robustness while preserving imperceptibility.

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A Hybrid Domain Color Image Watermarking Based on DWT–SVD

Cited by 40 publications

References 33 publications

A Novel Optimized Semi-Blind Scheme for Color Image Watermarking

A Novel Optimized Semi-Blind Scheme for Color Image Watermarking

A Robust Color Image Watermarking Algorithm Based on APDCBT and SSVD

A blind robust color image watermarking method based on discrete wavelet transform and discrete cosine transform using grayscale watermark image

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