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Journal ArticleDOI

Spread spectrum image steganography

TLDR
A new method of digital Steganography, entitled spread spectrum image steganography (SSIS), which hides and recovers a message of substantial length within digital imagery while maintaining the original image size and dynamic range.
Abstract
We present a new method of digital steganography, entitled spread spectrum image steganography (SSIS). Steganography, which means "covered writing" in Greek, is the science of communicating in a hidden manner. Following a discussion of steganographic communication theory and review of existing techniques, the new method, SSIS, is introduced. This system hides and recovers a message of substantial length within digital imagery while maintaining the original image size and dynamic range. The hidden message can be recovered using appropriate keys without any knowledge of the original image. Image restoration, error-control coding, and techniques similar to spread spectrum are described, and the performance of the system is illustrated. A message embedded by this method can be in the form of text, imagery, or any other digital signal. Applications for such a data-hiding scheme include in-band captioning, covert communication, image tamperproofing, authentication, embedded control, and revision tracking.

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Citations
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Proceedings ArticleDOI

Fast additive noise steganalysis

TL;DR: This work reduces the computational requirements of the additive noise steganalysis presented by Harmsen and Pearlman by considering the histogram between pairs of channels in RGB images, which is shown to offer computational savings of approximately two orders of magnitude while only slightly decreasing classification accuracy.
Journal ArticleDOI

A Cancelable Iris- and Steganography-Based User Authentication System for the Internet of Things.

TL;DR: This paper proposes a cancelable iris- and steganography-based user authentication system to provide user authentication and secure the original iris data, and enhances system security by integrating an effective information-hiding technique—steganography.
Book ChapterDOI

A Steganographic Embedding Undetectable by JPEG Compatibility Steganalysis

TL;DR: In this article, a topological approach to embedding is proposed, which encodes the embedded data in the spatial domain, yet cannot be detected by their steganalysis mechanism, and can be used as a steganographic method on files stored in JPEG format.
Journal ArticleDOI

Audio steganalysis with Hausdorff distance higher order statistics using a rule based decision tree paradigm

TL;DR: The objective of this paper is to prove that the choice of effective stego sensitive features and a proficient machine learning paradigm enhances the detection accuracy of the steganalyser.
Journal ArticleDOI

Adaptive image steganography using contourlet transform

TL;DR: Improved version of the first adaptive image steganography methods in which it uses an advanced embedding operation to boost its security has been proposed, and has superior performance in terms of PSNR and SSIM, and is more secure against the steganalysis attack.
References
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Journal ArticleDOI

De-noising by soft-thresholding

TL;DR: The authors prove two results about this type of estimator that are unprecedented in several ways: with high probability f/spl circ/*/sub n/ is at least as smooth as f, in any of a wide variety of smoothness measures.
Book

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TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Journal ArticleDOI

Error bounds for convolutional codes and an asymptotically optimum decoding algorithm

TL;DR: The upper bound is obtained for a specific probabilistic nonsequential decoding algorithm which is shown to be asymptotically optimum for rates above R_{0} and whose performance bears certain similarities to that of sequential decoding algorithms.
Journal ArticleDOI

Secure spread spectrum watermarking for multimedia

TL;DR: It is argued that insertion of a watermark under this regime makes the watermark robust to signal processing operations and common geometric transformations provided that the original image is available and that it can be successfully registered against the transformed watermarked image.