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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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Patent

Digital Watermark Key Generation

TL;DR: In this article, a multi-purpose electronic processor is used for modifying the identifying data with a random or pseudo-random signal; error correction encoding the modified identifying data; and transforming a plural-bit message with the error correction encoded, modified data to produce a key for use with message encoding.
Proceedings ArticleDOI

A Novel Approach to Develop a Secure Image based Steganographic Model using Integer Wavelet Transform

TL;DR: A specific image based steganography technique for communicating information more securely between two locations is proposed and the author incorporated the idea of secret key for authentication at both ends in order to achieve high level of security.
Journal ArticleDOI

Maximizing embedding capacity and stego quality: curve-fitting in the transform domain

TL;DR: Experimental results demonstrate that this curve-fitting methodology is able to enhance adaptive transform-domain embedding schemes where very high embedding capacities can be achieved that are much higher than competing high-capacity hiding schemes.
Proceedings Article

Searching For Hidden Messages: Automatic Detection of Steganography

TL;DR: This work uses ML algorithms to distinguish clean and stego-bearing files, and shows that ML algorithms work in both content- and compression-based image formats, outperforming at least one current hand crafted steganalysis technique in the latter.
Proceedings ArticleDOI

Adaptive steganography method based on contourlet transform

TL;DR: A new adaptive steganographic scheme based on contourlet transform is presented that provides large embedding capacity and its superiority is shown by comparison with a similar wavelet-based steganography approach.
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.
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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.