Distortionless data hiding based on integer wavelet transform

Xuan, Guixin; Zhu, Jiang; Chen, Jidong; Shi, Yun Q.; Ni, Zhicheng; Su, Wei

doi:10.1049/el:20021131

Cited by 250 publications

(121 citation statements)

References 3 publications

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“…Column (c) shows the dissimilarity between watermarked and the original image, indicating indiscernible embedding of the watermark by using the best evolved expression using GP simulations The naked eye is unable to differentiate this difference, so some amplification is done to enhance the difference as shown in column Fig.7. compares the existing reversible watermarking techniques [36], [37], [28], [31], [18], [3], [35], [27], [25], [19], [8], [12] with the proposed IWT-Med. Tian's technique is quite interesting but its disadvantage is that for locating the expanded differences, extra information of location map is inserted besides the watermark in the image.…”

Section: Resultsmentioning

confidence: 99%

“…Another disadvantage of the Xuan's approach is that the thresholding is performed using hit and trial method. Existing reversible watermarking techniques provide a useful tradeoff between capacity and imperceptibility of watermarked image [36], [37], [35], [28], [13]. However, there is still a margin of improvement that mainly depends on the selection of the threshold.…”

Section: Resultsmentioning

confidence: 99%

“…Xuan et al [35], have also proposed a reversible and histogram shifting based watermarking technique, in which the information is embedded in the peak and neighborhood point by shifting the peak points towards zero point. Another work regarding reversible data hiding technique based on IWT is also proposed by Xuan [37]. Li et al [19] proposed an adaptive prediction error expansion based reversible watermarking technique.…”

Section: Related Workmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

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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show abstract

“…Reversible data hiding [1][2][3][4][5][6][7][8][9][10], often referred to as reversible watermarking, was proposed as a promising technique for sensitive image (such as medical and remote sensed images) authentication, and it has drawn much attention in the recent years. Such an embedding algorithm allows extraction of intact hidden data from the watermarked digital carriers and lossless recovery of the original images, if no modification has been made to the watermarked digital carriers.…”

Section: Introductionmentioning

confidence: 99%

“…One category applies data embedding in the spatial domain [1][2][3][4], with relatively low capacity. The other category hides data into the coefficients in the transform domains [5][6][7][8][9], such as the integer DCT and the integer wavelet transform domains. The second category of methods are all facing the same problem: how to choose appropriate embedding locations to avoid pixel value overflow and underflow, and all the solutions have to pay the overhead cost to record all the embedding locations, which greatly reduces the embedding capacity.…”

Section: Introductionmentioning

confidence: 99%

Progressive Reversible Data Hiding by Symmetrical Histogram Expansion with Piecewise-Linear Haar Transform

Yang

Hao

Zhang

2007

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07

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In this paper, we present a progressive reversible data hiding technique by symmetrical histogram expansion in the transform domain of Piecewise-Linear Haar (PLHaar). Data are embedded into the PLHaar coefficients of images progressively from the pivotal bin of a histogram of PLHaar coefficients to both sides of the pivot symmetrically. With PLHaar, no overflow or underflow occurs to the pixel values, and our data hiding method achieves the highest embedding capacity with PSNR around 50dB compared to the previous methods in the literature. The method can also be applied to artificial images with an exactly flat histogram, which is impossible for a method to hide data in the spatial domain. The progressiveness of the proposed method also enables a rough but automatic capacity-PSNR control. The effectiveness of our method is demonstrated with a number of experiments.

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Reversible data hiding exploiting high‐correlation regulation for high‐quality images

Wang

et al. 2014

Security Comm Networks

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Reversible data hiding enables the cover image to be restored from the stego image without any loss after the secret message is extracted. In this paper, we proposed a novel reversible data‐hiding scheme for high image quality based on the histogram‐shifting method. In our scheme, we proposed two mechanisms for choosing reference pixels according to the high correlation of adjacent pixels. The differences between reference pixels and their corresponding, neighboring, non‐reference pixels are exploited to hide secret messages according to the difference shifting mechanism. To achieve larger embedding capacity, the reference pixels are designed to further carry secret messages based on the interpolation prediction method. Experimental results showed that our proposed scheme achieved higher embedding payload while maintaining better visual quality of the images than did other schemes. Copyright © 2014 John Wiley & Sons, Ltd.

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Distortionless data hiding based on integer wavelet transform

Cited by 250 publications

References 3 publications

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

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

Progressive Reversible Data Hiding by Symmetrical Histogram Expansion with Piecewise-Linear Haar Transform

Reversible data hiding exploiting high‐correlation regulation for high‐quality images

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