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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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Analisis Steganography Terhadap Keamanan Data

TL;DR: The computer security system includes security data this time able to issue demand, and steganography is the art of concealing the existence of information within seemingly innocuous carriers.
Dissertation

Flash memory for ubiquitous hardware security functions

Yinglei Wang
TL;DR: It is demonstrated that unmodified commercial Flash memory can provide three important security functions: true random number generation, digital fingerprinting and information hiding, and all schemes require no change to Flash chips or interfaces, and do not require additional hardware.
Book ChapterDOI

On the Implementation of a Fragile Medical Image Watermarking Technique Using Saliency and Phase Congruency

TL;DR: In this paper , the saliency and phase congruency methodologies are applied on the original medical image to highlight the object features and a mask is generated which segregates the area of interest from the portions containing visual medical information.
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.