An enhanced hybrid image watermarking scheme for security of medical and non-medical images based on DWT and 2-D SVD

Araghi, Tanya Koohpayeh; Manaf, Azizah Abdul

doi:10.1016/j.future.2019.07.064

Cited by 100 publications

(37 citation statements)

References 19 publications

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“…Araghi et al 46,49 have proposed an image steganography technique using DWT and 2D SVD that has achieved an average PSNR value of 46 dB with variable payload capacity is found to be better than Siddharth et al 48 and Mathivanan et al 45 Mathivanan et al 47 have proposed an ECG steganography using DWT and pixel swapping achieved a PSNR value of 45.63 dB with a payload efficiency of 21 k‐bits which is observed to be better than Siddharth et al 48 and Mathivanan et al 45 The proposed scheme described in this study considers the payload capacity of 64 k‐bits, and the obtained results are found to be better than Siddharth et al 48 and Mathivanan et al 45 Moreover, the imperceptibility of the proposed scheme is found to be good in comparison with Yang and Wang, 28 Siddharth et al, 48 Mathivanan et al, 47 Patil et al 50 and Mathivanan et al, 45 and is replicated in the PSNR value of 59.64 dB. Mathivanan et al and Yang and Wang 28 PSNR values are 51.4 dB and 56.34 dB which are found to be better than Siddharth et al, 48 Mathivanan et al 47 and Patil et al 50 However, it considers a very low payload of 229 bits and 7500 bits compared to other traditional algorithms as shown in Table 4.…”

Section: Resultsmentioning

confidence: 98%

ECG steganography based on tunable Q‐factor wavelet transform and singular value decomposition

Mathivanan

Ganesh

2020

Int J Imaging Syst Tech

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The article presents a novel ECG steganography scheme based on the tunable Q‐factor wavelet transformation (TQWT) and also singular value decomposition (SVD) techniques that ensure better safety and confidentiality of patient information. Initial parameters such as Q, r, and J are used to decompose the cover signal into individual frequency sub‐bands with the tunable Q‐factor wavelet transform (TQWT). The singular value decomposition (SVD) technique is used to further decompose high‐frequency sub‐band coefficients into singular values. The watermark information is then embedded with high‐frequency sub‐band coefficients by involving the quantization process. The performance of this proposed system is successfully evaluated by considering various metrics, such as peak signal to noise ratio (PSNR), structural similarity index (SSIM), percentage residual difference (PRD), and bit error rate (BER). The simulation results of the proposed scheme are observed to be better than other traditional algorithms.

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Section: Resultsmentioning

confidence: 98%

ECG steganography based on tunable Q‐factor wavelet transform and singular value decomposition

Mathivanan

Ganesh

2020

Int J Imaging Syst Tech

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“…Recently, researchers have been working on integrating watermarking techniques based on wavelet transform coefficients and SVD to improve the robustness of watermarked images against non-geometric and geometric attacks [14], [15], [24], [27], [41], [50], [54]. Furthermore, hybrid schemes that combine these transforms with SVD are very successful in recent years [24], [37], [41]. In the SVDbased scheme, the watermark image is usually placed in the singular value of the cover image [45], [49].…”

Section: Related Workmentioning

confidence: 99%

“…The primary goal of this presented scheme is to develop a novel color scheme that can offer high robustness, strong imperceptibility, high embedded capacity, and reasonable resistance to geometric attacks on copyright protection and ownership identification. The FRT, DWT, and SVD schemes are used to study color image watermarking in the transform domain, as these domains recently proved to be robust [13], [24], [37], [39], [41], [45], [49]. The proposed watermark scheme uses FRT, DWT, SVD, PSO, and Arnold transform to provide robust color image watermarking in the transform domain.…”

Section: Related Workmentioning

confidence: 99%

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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“…In this field, numerous researchers have done great work. The authors of [5,6] proposed a Discrete Wavelet Transform (DWT) based blind image watermarking algorithm coupled with a second level Singular Value Decomposition (SVD) algorithm to improve both imperceptibility and robustness. The authors used image blocking to find the optimum image sub-block size.…”

Section: Introductionmentioning

confidence: 99%

An efficient low bit rate image watermarking and tamper detection for image authentication

Kabir

2021

SN Appl. Sci.

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This study presents the vulnerability of digital documents and its effective way to protect the ownership and detection of unauthorized modification of multimedia data. Watermarking is an effective way to protect vulnerable data in a digital environment. In this paper, a watermarking algorithm has been proposed based on a lossy compression algorithm to ensure authentication and detection of forgery. In this proposed method, the CDF9/7 biorthogonal wavelet is used to transform the watermark image and encoded the wavelet coefficients using Set Partition in Hierarchical Tree algorithm. Then, the encoded bits are encrypted by shuffling and encrypting using symmetric keys. After that the encrypted bits are inserted into the Least Significant Bit position of the cover image. In addition, two tamper detection bits are generated based on texture information and pixel location and inserted in the watermarked image. The proposed algorithm reconstructs the watermark and the tampering region more efficiently and achieved 56.5463 dB PSNR for STARE database. Experimental result shows that the proposed algorithm is effectively prevented different attacks and ensure the integrity of watermark bits within the watermarked image. Also finds the tampered region more efficiently compared with the existing state of art algorithms.

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An enhanced hybrid image watermarking scheme for security of medical and non-medical images based on DWT and 2-D SVD

Cited by 100 publications

References 19 publications

ECG steganography based on tunable Q‐factor wavelet transform and singular value decomposition

ECG steganography based on tunable Q‐factor wavelet transform and singular value decomposition

A Novel Optimized Semi-Blind Scheme for Color Image Watermarking

An efficient low bit rate image watermarking and tamper detection for image authentication

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