A high capacity reversible watermarking approach for authenticating images: Exploiting down-sampling, histogram processing, and block selection

Kamran,; Khan, Asifullah; Malik, Sana

doi:10.1016/j.ins.2013.07.035

Cited by 57 publications

(13 citation statements)

References 36 publications

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“…We can see that the proposed predictor provides the smallest error power and the prediction errors are closer to zero. The error power of the other schemes can be estimated by (17), where N is the length of the audio file. For the other clips, the simulation results are similar.…”

Section: Resultsmentioning

confidence: 99%

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Reversible audio data hiding algorithm using noncausal prediction of alterable orders

Xiang

2017

J AUDIO SPEECH MUSIC PROC.

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This paper presents a reversible data hiding scheme for digital audio by using noncausal prediction of alterable orders. Firstly, the samples in a host signal are divided into the cross and the dot sets. Then, each sample in a set is estimated by using the past P samples and the future Q samples as prediction context. The order P + Q and the prediction coefficients are computed by referring to the minimum error power method. With the proposed predictor, the prediction errors can be efficiently reduced for different types of audio files. Comparing with the existing several state-of-the-art schemes, the proposed prediction model with expansion embedding technique introduces less embedding distortion for the same embedding capacity. The experiments on the standard audio files verify the effectiveness of the proposed method.

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Section: Resultsmentioning

confidence: 99%

“…Thus, the number of the peak frequency bin determines the embedding capacity. These schemes may include blocking or area selection methods just like the approach shown in [17]. Its embedding capacity was usually smaller and the embedding distortion was unstable.…”

Section: Introductionmentioning

confidence: 99%

Reversible audio data hiding algorithm using noncausal prediction of alterable orders

Xiang

2017

J AUDIO SPEECH MUSIC PROC.

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“…The proof of integrity and authenticity of reversible watermarking has been one large challenge [1][2][3]. In fact, generating a copy of digital signal is just reconstructing one same signal.…”

Section: Introductionmentioning

confidence: 99%

“…At present, there are three existing approaches which respectively named blind detection, image hashing and digital watermarking to deal with the problems of detection of images tamper [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Reversible Watermarking Authentication Algorithm For Color Images Based On Compressed Sensing

Dong

Hangzhou

Zhang

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

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Abstract-Aiming at the shortcomings of existing reversible watermarking for image authentication, such as poor ability of tamper detection and localization, and low attention of reconstruction after tampering, a reversible watermarking authentication algorithm based on compressed sensing for color image was proposed. On the side of the sender, the original image has been divided into blocks and carried out compressed sensing to generate image hash which works as the watermark information, and was embedded by the reversible watermarking of difference histogram algorithm. On the side of the receiver, watermark was extracted for authentication. For the tampered block which was failed in authentication, original image will be restored by reconstruction of compressed sensing. Experimental results show that the algorithm combines of reversible watermarking and compressed sensing, so that the detection rate of image authentication has been improved, as well as the robustness to resist sparse noise and cutting and the ability to reconstruct the original image.Index terms: image authentication, reversible watermarking, compressed sensing, difference histogram, image reconstruction.

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“…Above all, these approaches have been extensively useful to the literature of copyright protection and tamper authentication. Difference expansion, sorting and prediction [3], histogram modification, lossless compression, prediction-error histogram [4] and hybrid methods [5] are the most common procedure to understand the reversibility of watermarking algorithm. Digital watermarking schemes can be classified according to embedding domain as spatial domain [6][7][8] or frequency domain [9][10][11] techniques.…”

Section: Introductionmentioning

confidence: 99%

Security of health imagery via reversible watermarking based on differential evolution

Priya

Belji

Sadasivam

2014

2014 International Conference on Medical Imaging, M-Health and Emerging Communication Systems (MedCom)

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Physicians are motivated to use e-health technology. Use of modern technology enables knowledge extraction which can be used to improve diagnostics and treatment. At present Electronic Patient Record (EPR) are also shared through cloud among hospitals. Protection of EPR is important to protect the ownership particularly when the data is shared with third parties. Digital watermarking is a proven technique to achieve this goal. Digital watermarking technique can be employed for data hiding and to ensure integrity and authenticity of medical image. Considering this broad scope, a fresh and reversible watermarking scheme is recommended to report this safety production. Hospital Logo, Hash of ROI, Doctor Identification Code (DIC) is embedded using Recursive Dither Modulation (RDM) algorithm subsequent to wavelet transform and singular value decomposition. To improve the performance of the scheme differential evolution based optimization technique is proposed. The scheme is reversible and can also perform tamper detection.

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A high capacity reversible watermarking approach for authenticating images: Exploiting down-sampling, histogram processing, and block selection

Cited by 57 publications

References 36 publications

Reversible audio data hiding algorithm using noncausal prediction of alterable orders

Reversible audio data hiding algorithm using noncausal prediction of alterable orders

Reversible Watermarking Authentication Algorithm For Color Images Based On Compressed Sensing

Security of health imagery via reversible watermarking based on differential evolution

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