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Journal ArticleDOI

Data hiding method using image interpolation

TLDR
The proposed scaling-up neighbor mean interpolation method has a low-time complexity and high-calculation speed, and the proposed data hiding method is based on interpolation, which can embed a large amount of secret data while keeping a very high visual quality.
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This article is published in Computer Standards & Interfaces.The article was published on 2009-02-01. It has received 213 citations till now. The article focuses on the topics: Information hiding & Interpolation.

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Citations
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Journal ArticleDOI

Review: Digital image steganography: Survey and analysis of current methods

TL;DR: This paper provides a state-of-the-art review and analysis of the different existing methods of steganography along with some common standards and guidelines drawn from the literature and some recommendations and advocates for the object-oriented embedding mechanism.
Journal ArticleDOI

An efficient image interpolation increasing payload in reversible data hiding

TL;DR: A high-capacity image hiding scheme is proposed by exploiting an interpolating method called Interpolation by Neighboring Pixels (INP) on Maximum Difference Values to improve the performance of data hiding scheme proposed by Jung and Yoo.
Journal ArticleDOI

Hiding clinical information in medical images

TL;DR: Experimental results reveal that the proposed system besides being completely reversible is capable of providing high quality watermarked images for fairly high payload and a comparison of the observed results with some state-of-art schemes show that the scheme performs better.
Journal ArticleDOI

Steganographic method based on interpolation and LSB substitution of digital images

TL;DR: Experimental results show that the proposed semi-reversible data hiding method can embed a large amount of secret data while keeping very high visual quality, where the PSNR is guaranteed to be 37.54 dB (k = 3) and 43.94 dB
Journal ArticleDOI

Watermarking techniques for medical data authentication: a survey

TL;DR: General concepts of watermarking, major characteristics, recent applications, concepts of embedding and recovery process of watermarks, and the summary of various techniques are highlighted in brief.
References
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Journal ArticleDOI

Information hiding-a survey

TL;DR: An overview of the information-hiding techniques field is given, of what the authors know, what works, what does not, and what are the interesting topics for research.
Journal ArticleDOI

Reversible data hiding

TL;DR: It is proved analytically and shown experimentally that the peak signal-to-noise ratio of the marked image generated by this method versus the original image is guaranteed to be above 48 dB, which is much higher than that of all reversible data hiding techniques reported in the literature.
Journal ArticleDOI

New edge-directed interpolation

TL;DR: Simulation results demonstrate that the new interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional linear interpolation.
Journal ArticleDOI

Survey: interpolation methods in medical image processing

TL;DR: The goal of this study was to present a comprehensive catalogue of methods in a uniform terminology, to define general properties and requirements of local techniques, and to enable the reader to select that method which is optimal for his specific application in medical imaging.
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On the limits of steganography

TL;DR: It is shown that public key information hiding systems exist, and are not necessarily constrained to the case where the warden is passive, and the use of parity checks to amplify covertness and provide public key steganography.
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