Conference
Quantitative Steganalysis of Binary Images
Abstract
We propose a quantitative steganalysis method to detect hidden information embedded by flipping pixels along boundaries in binary images. We model steganographic embedding as an additive noise process and use compression rate as a distinguishing statistic that aids in discriminating between stego-images and cover-images. We specifically use the JBIG 2 binary image compression algorithm to derive a quantitative relation between compression rate …
Authors
Jiang M; Memon N; Wong E; Wu X
Volume
1
Pagination
pp. 29-32
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2004
DOI
10.1109/icip.2004.1418682
Name of conference
2004 International Conference on Image Processing, 2004. ICIP '04.