The purpose of image steganalysis is to find out if the hidden messages exist in images. After differencing DCT coefficients of natural-images and stego-images, their histograms present different laws. This paper regards this as the feature vector to determine if a hiding message is in the image. Through the analysis of former feature vector, the author extracts a new feature to estimate the amount of hidden information in JPEG. The results of the experiments show this approach is effective.
A JPEG Steganalysis Algorithm with Embedded Rate Estimation Based on Multi-class SVM
2008 Congress on Image and Signal Processing ; 5 ; 613-615
01.05.2008
273626 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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