Security, Steganography, and Watermarking of Multimedia Contents VIII (Proceedings Volume) (original) (raw)

2006

Abstract

The contribution of this paper is two-fold. First, we describe an improved version of a blind steganalysis method previously proposed by Holotyak et al. and compare it to current state-of-the-art blind steganalyzers. The features for the blind classifier are calculated in the wavelet domain as higher-order absolute moments of the noise residual. This method clearly shows the benefit of calculating the features from the noise residual because it increases the features' sensitivity to embedding, which leads to improved detection results ...

Ivo Shterev hasn't uploaded this paper.

Let Ivo know you want this paper to be uploaded.

Ask for this paper to be uploaded.