Steganalysis of LSB matching in grayscale images
Top Cited Papers
- 16 May 2005
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Letters
- Vol. 12 (6) , 441-444
- https://doi.org/10.1109/lsp.2005.847889
Abstract
We consider the problem of detecting spatial domain least significant bit (LSB) matching steganography in grayscale images, which has proved much harder than for its counterpart, LSB replacement. We use the histogram characteristic function (HCF), introduced by Harmsen for the detection of steganography in color images but ineffective on grayscale images. Two novel ways of applying the HCF are introduced: calibrating the output using a downsampled image and computing the adjacency histogram instead of the usual histogram. Extensive experimental results show that the new detectors are reliable, vastly more so than those previously known.Keywords
This publication has 4 references indexed in Scilit:
- Quantitative evaluation of pairs and RS steganalysisPublished by SPIE-Intl Soc Optical Eng ,2004
- Steganalysis using color wavelet statistics and one-class support vector machinesPublished by SPIE-Intl Soc Optical Eng ,2004
- Steganalysis of additive-noise modelable information hidingPublished by SPIE-Intl Soc Optical Eng ,2003
- Practical steganalysis of digital images: state of the artPublished by SPIE-Intl Soc Optical Eng ,2002