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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

Watermark extraction and content screening in a networked environment

TL;DR: Watermark extraction and content screening operations may be organized such that some or all of the operations can be conducted at different times by different devices as mentioned in this paper, where the watermark extraction results can be stored in a secure location and accessed by other devices.
Proceedings ArticleDOI

Who decides hiding capacity? I, the pixel intensity

TL;DR: This paper proposes a variant of pixel indicator methodology to randomize and vary the capacity of the cover image, containing the whole secret message to be transferred but based on a few criteria.
Journal ArticleDOI

A Robust Image Steganography Technique Using Dynamic Embedding with Two Least Significant Bits

TL;DR: This approach provides two levels of security, one at the cryptography level and the other at the steganography level, and the proposed technique is experimented through a large number of experiments.
Book

Transform Domain Techniques for Image Steganography

TL;DR: This book proposes and evaluates secure and robust image steganography techniques in DCT and Wavelet transform domain by combining embedding domain transform with chaotic sequence, Singular Value Decomposition, and Arnold Transform.
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

Fundamentals of digital image processing

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.