Design of Blind Detecting System for Image Steganalysis
Yuhua Tang · Jisuanji gongcheng · 2007
This paper designs and implements a blind detecting system for images steganalysis. The aim of devising the blind detecting systems is to discover images in networks with more veracity at condition of no original images. The wavelet decomposition is implemented in each color channel, the magnitude of decomposition coefficients and the log error between the actual coefficient and the predicted coefficient magnitudes are used to yield statistics. The non-linear support vector machine algorithm has been employed in the pattern discrimination. Its structure, principle, controlling process as well as the key designing technique of software are also presented in detail. It points out improvement direction.