SVD-based digital image watermarking using complex wavelet transform

Mansouri, Azadeh; Mahmoudi-Aznaveh, Ahmad; Azar, Farah Torkamani

doi:10.1007/s12046-009-0016-y

Cited by 33 publications

(8 citation statements)

References 23 publications

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“…Image's algebraic characteristics might be specified, also SVD has been majorly utilized in the image processing. Due to its rotation invariance and stability, the majority of present algorithms of image encryption have been on the basis of SVD that have elevated robustness [9][10][11]. An excellent approach for computing eigenvectors and eigenvalues of data matrix X (KxM) has been with the use of SVD specified as follows [12]…”

Section: Singular Value Decomposition (Svd)mentioning

confidence: 99%

Improved anti-noise attack ability of image encryption algorithm using de-noising technique

Abdulwahed

Ahmed

2020

TELKOMNIKA

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Information security is considered as one of the important issues in the information age used to preserve the secret information throughout transmissions in practical applications. With regard to image encryption, a lot of schemes related to information security were applied. Such approaches might be categorized into 2 domains; domain frequency and domain spatial. The presented work develops an encryption technique on the basis of conventional watermarking system with the use of singular value decomposition (SVD), discrete cosine transform (DCT), and discrete wavelet transform (DWT) together, the suggested DWT-DCT-SVD method has high robustness in comparison to the other conventional approaches and enhanced approach for having high robustness against Gaussian noise attacks with using denoising approach according to DWT. Mean square error (MSE) in addition to the peak signal-to-noise ratio (PSNR) specified the performance measures which are the base of this study's results, as they are showing that the algorithm utilized in this study has high robustness against Gaussian noise attacks.

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Section: Singular Value Decomposition (Svd)mentioning

confidence: 99%

Improved anti-noise attack ability of image encryption algorithm using de-noising technique

Abdulwahed

Ahmed

2020

TELKOMNIKA

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“…In spite of the robust performance of SVDbased watermarking techniques, they cannot outperform the robustness of frequency-based methods against different attacks [76]. The best approach to enhance the robustness of SVD-based methods is to employ this transform along with the frequency based transforms such as SVD-DCT [44,74,79,81], SVD-DWT [47,49,52,76,77,83], and SVD-DTCWT [78,82].…”

Section: Singular Value Decompositionmentioning

confidence: 99%

Watermarking Techniques used in Medical Images: a Survey

2014

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The ever-growing numbers of medical digital images and the need to share them among specialists and hospitals for better and more accurate diagnosis require that patients' privacy be protected. As a result of this, there is a need for medical image watermarking (MIW). However, MIW needs to be performed with special care for two reasons. Firstly, the watermarking procedure cannot compromise the quality of the image. Secondly, confidential patient information embedded within the image should be flawlessly retrievable without risk of error after image decompressing. Despite extensive research undertaken in this area, there is still no method available to fulfill all the requirements of MIW. This paper aims to provide a useful survey on watermarking and offer a clear perspective for interested researchers by analyzing the strengths and weaknesses of different existing methods.

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“…Watermark was embedded into part of frequency coefficients of these sub-bands by computing their statistical characteristics. A Mansouri, A Mahmoudi Aznaveh, F Torkamani Azar [6] have proposed a method using Complex Wavelet Transform (CWT) and singular value decomposition (SVD). The watermark was embedded by combining singular values of watermark in LL band of transformed image.…”

Section: Related Workmentioning

confidence: 99%

Performance Comparison of DCT and Walsh Transforms for Watermarking using DWT-SVD

Kekre¹,

Sarode²,

Natu³

2013

IJACSA

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Abstract-This paper presents a DWT-DCT-SVD based hybrid watermarking method for color images. Robustness is achieved by applying DCT to specific wavelet sub-bands and then factorizing each quadrant of frequency sub-band using singular value decomposition. Watermark is embedded in host image by modifying singular values of host image. Performance of this technique is then compared by replacing DCT by Walsh in above combination. Walsh results in computationally faster method and acceptable performance. Imperceptibility of method is tested by embedding watermark in HL2, HH2 and HH1 frequency subbands. Embedding watermark in HH1 proves to be more robust and imperceptible than using HL2 and HH2 sub-bands.

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SVD-based digital image watermarking using complex wavelet transform

Cited by 33 publications

References 23 publications

Improved anti-noise attack ability of image encryption algorithm using de-noising technique

Improved anti-noise attack ability of image encryption algorithm using de-noising technique

Watermarking Techniques used in Medical Images: a Survey

Performance Comparison of DCT and Walsh Transforms for Watermarking using DWT-SVD

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