Robust copyright protection scheme for digital images using overlapping DCT and SVD

Wu, Xiaotian; Sun, Wei

doi:10.1016/j.asoc.2012.09.028

Cited by 72 publications

(46 citation statements)

References 24 publications

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“…Такие алгоритмы осуществляют внедрение ЦВЗ в частотные коэффициенты дискретного косинусного преобразования (ДКП) [2,3] и дискретного вейвлет-преобразования [4][5][6]. В последние годы в частотных алгоритмах цифрового маркирования применяется дискретное преобразование Адамара (ДПА) [7][8][9][10][11][12][13][14], которое для дополнительного уменьшения вычислительной сложности определяется строчно-столбцовым образом:…”

Section: Introductionunclassified

Increase of stability at jpeg compression of the digital watermarks embedded in still images

A¹

2015

Naučno-teh. vestn. inf. tehnol. meh. opt.

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Section: Introductionunclassified

Increase of stability at jpeg compression of the digital watermarks embedded in still images

A¹

2015

Naučno-teh. vestn. inf. tehnol. meh. opt.

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“…273 signal to noise ratio (PSNR) [16] is adopted as a quantitative correlation (NC) [16] is used as the quantification index which and defined as …”

Section: International Journal Of Future Computer and Communication mentioning

confidence: 99%

A New Fragile Watermarking Scheme Based on Wavelet Edge Feature

Khankasikam¹

2015

IJFCC

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Abstract-An image watermarking is the process of authenticating a digital image by embedding a watermark into it and protecting the image from copyright violation. This paper proposes a new fragile watermarking scheme developed in a wavelet domain based on the discrete wavelet transform and Arnold scrambling algorithm. The original watermark image is transformed into wavelet domain by applying discrete wavelet transform, subsequently the high frequency coefficients which in form of an edge feature image of wavelet transformed image is transformed into binary watermark image by using thresholding method. The binary watermark image is embedded into host image by modifying Arnold scrambling algorithm. The proposed method encompasses three phases including watermark generation phase, watermark embedding phase and tamper detection and localization phase. Experimental results show that the proposed method has satisfactory protection ability and can detect and locate various malicious tampering efficiently. The invisibleness and robustness of the propose method is evaluated by using well known indices including peak signal to noise ratio index and normalized correlation index.Index Terms-Arnold scrambling, discrete wavelet transform, edge feature image, fragile watermarking scheme, tamper detection.

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“…In fragile watermarking, alteration in image results in the destruction of watermark and robust watermarking aims to resist attacks [34] [30]. Whereas in semi fragile watermarking, a watermark is supposed to resist unintentional attacks but get destroyed in case of intentional attacks.…”

Section: Introductionmentioning

confidence: 99%

Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique

Arsalan

Qureshi

Khan

et al. 2017

Applied Soft Computing

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Rajarajan, M. (2017). Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique. Applied Soft Computing Journal, 51, pp. 1668-179. doi: 10.1016/j.asoc.2016.11.044 This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent AbstractThis work presents an intelligent technique based on reversible watermarking for protecting patient and medical related information. In the proposed technique 'IRW-Med', the concept of companding function is exploited for reducing embedding distortion, while Integer Wavelet Transform (IWT) is used as an embedding domain for achieving reversibility. Histogram processing is employed to avoid underflow/overflow. In addition, the learning capabilities of Genetic Programming (GP) are exploited for intelligent wavelet coefficient selection. In this context, GP is used to evolve models that not only make an optimal tradeoff between imperceptibility and capacity of the watermark, but also exploit the wavelet coefficient hidden dependencies and information related to the type of sub band. The novelty of the proposed IRW-Med technique lies in its ability to generate a model that can find optimal wavelet coefficients for embedding, and also acts as a companding factor for watermark embedding. The proposed IRW-Med is thus able to embed watermark with low distortion, take out the hidden information, and also recovers the original image. The proposed IRW-Med technique is effective with respect to capacity and imperceptibility and effectiveness is demonstrated through experimental comparisons with existing techniques using standard images as well as a publically available medical image dataset.

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Robust copyright protection scheme for digital images using overlapping DCT and SVD

Cited by 72 publications

References 24 publications

Increase of stability at jpeg compression of the digital watermarks embedded in still images

Increase of stability at jpeg compression of the digital watermarks embedded in still images

A New Fragile Watermarking Scheme Based on Wavelet Edge Feature

Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique

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