Enhancing the robustness of image watermarking against cropping attacks with dual watermarks

Hsu, Ching-Sheng; Tu, Shu-Fen

doi:10.1007/s11042-019-08367-6

Cited by 25 publications

(12 citation statements)

References 20 publications

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“…Su Q. et al (Su et al, 2019) introduced spatial domain watermarking procedure by embedding watermark contents in all pixels of the carrier image by quantization; but the watermarked results reflect weak robustness to potential attacks. Hsu, C. S. et al (Hsu et al, 2019) proposed a watermarking scheme specifically for resisting cropping attacks. Wang, C. et al (Wang, C. et al, 2019) used Ternary radial harmonic Fourier moments to hide watermark contents.…”

Section: Related Work and Reviewmentioning

confidence: 99%

A Hybrid Digital Image Watermarking Scheme Incorporating DWT, DFT, DCT and SVD Transformations

Varghese

Razak²,

Hussain

et al. 2021

JER is an international, peer-reviewed journal that publishes f

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Digital watermarking provides copyright protection and proof of ownership by inserting watermark metadata as owner’s identity in digital documents to prevent authenticity and copyright violations. The paper introduces a new hybrid image watermarking scheme by attaching multiple copies of watermarks in carrier image. The new scheme utilizes the advantages of DWT, DFT, DCT and SVD transformations to offer stable resistance in protecting watermark contents from various external attacks. The proposed scheme uses Haar wavelet, Fourier, Onion Peel Decomposition, DCT, zigzag ordering and SVD transforms to decompose the carrier image in to four levels to maintain imperceptibility in the watermarked images. The algorithm attaches replicas of watermark frequency blocks in all frequency components of host image to provide better robustness against external deprivations in watermarked images. The proposed algorithm also provides the increased probability of extracting at least one undamaged replica of watermark even when other frequencies are damaged by external attacks. The improved experimental results of the proposed scheme in terms of visual analysis and quantitative metrics on different images with different experimental set up demarcate that the proposed watermarking scheme provides stable performance in generating better watermarked images. It is experimentally found that the new scheme produces high quality watermarked images with an average of 7.62% lesser Mean Absolute Error (MAE) and increased Peak Signal to Noise Ratio (PSNR), Mean Structural Similarity Index Measure (MSSIM) and Feature Similarity Index Measure (FSIM) of 5.02 %, 4.37 %, and 2.37 % respectively than the next best algorithms when simulated with 20 sets of watermark and cover images. The watermark images extracted by the proposed algorithm from extremely distorted watermarked images are with better visual and objective values than other methods used in the comparative study. Simulation analysis on 20 sets of watermark and cover images with 30 types of potential attacks reveals that the extracted watermark images through the proposed scheme produces an average of 5.62%, 6.37%, 5.75% improved Pearson Correlation Coefficients (PCC), Number of Changing Pixel Rate (NPCR) and the Unified Averaged Changed Intensity (UACI) values respectively than the next best algorithms used in the comparative study.

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Section: Related Work and Reviewmentioning

confidence: 99%

A Hybrid Digital Image Watermarking Scheme Incorporating DWT, DFT, DCT and SVD Transformations

Varghese

Razak²,

Hussain

et al. 2021

JER is an international, peer-reviewed journal that publishes f

View full text Add to dashboard Cite

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“…Some other steganography techniques are based on matrix factorization by using methods such as singular value decomposition (SVD) [14], QR decomposition, and lower-upper (LU) decomposition. A matrix factorization method is used to decompose the cover image into matrices, and the secret image is concealed into one of these matrices [15]. This is an overview of existing work in the video steganography field using transform domain techniques.…”

Section: Introductionmentioning

confidence: 99%

High capacity video hiding based on multi-resolution stationary wavelet transform and hybrid-matrix decomposition techniqueset Transform and hybrid-matrix decomposition techniques

et al. 2022

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Internet simplified digital data transferring. This data needs to be secured; so securing digital data becomes an important concern. Steganography provides security for data by inserting it into a cover and concealing it. In this paper, a steganography algorithm was introduced. This algorithm used the stationary wavelet transform (SWT) and اhybrid-matrix decomposition techniques, singular value decomposition (SVD) and QR factorization to conceal a video in another video. The algorithm performance was measured with reference to the peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM) for the cover and the secret videos. The algorithm successfully hid a video in another cover video and both are of the same size; the hiding capacity was 100%. The algorithm achieved a SSIM that reached 0.97 and a high PSNR value that reached 68.8 proving that the imperceptibility of the proposed algorithm is very high. The comparative analysis shows that the suggested algorithm achieved higher imperceptibility than the other state-of-the-art algorithms regarding the average PSNR. The enhanced version of the proposed method was more robust against different types of attacks.

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Section: Introductionmentioning

confidence: 99%

“…In [35], a new image watermarking scheme based on singular value decomposition (SVD) and chaotic mapping was proposed to enable the algorithm to achieve a good balance between robustness and imperceptibility. In [36], Xu et al proposed a QR-based digital watermarking scheme to enhance robustness to the shear attack. In addition, that method was found to yield superior performance compared to other methods in terms of invisibility, robustness, and embedding payload.…”

Section: Introductionmentioning

confidence: 99%

Medical image encryption scheme based on self‐verification matrix

Man

2021

IET Image Processing

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To mitigate the shortcomings of existing medical image encryption algorithms, including a lack of anti-tampering methods and security, this report presents an anti-tampering encryption algorithm for medical images that is based on a self-verification matrix. First, chaotic coordinates generated by chaos are used to traverse all pixels in a plain image to generate a two-dimensional matrix (a self-verification matrix) with positioning information. The accurate location of illegally altered image pixels can be detected using the self-verification matrix. To improve the security of the self-authentication matrix, DNA coding is also applied to the self-authentication matrix, and the plain image is also diffused statically to destroy the pixel distribution. Next, the scrambled image and self-verification matrix are mixed and cross-scrambled. Finally, the fused image is diffused dynamically to improve the security of the encrypted image. Experimental simulation and performance analysis show that the algorithm achieves good encryption effectiveness, provides strong anti-tampering capabilities, and can accurately locate at least 4 pixels.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Enhancing the robustness of image watermarking against cropping attacks with dual watermarks

Cited by 25 publications

References 20 publications

A Hybrid Digital Image Watermarking Scheme Incorporating DWT, DFT, DCT and SVD Transformations

A Hybrid Digital Image Watermarking Scheme Incorporating DWT, DFT, DCT and SVD Transformations

High capacity video hiding based on multi-resolution stationary wavelet transform and hybrid-matrix decomposition techniqueset Transform and hybrid-matrix decomposition techniques

Medical image encryption scheme based on self‐verification matrix

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