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HPS: histogram preserving steganography in spatial domain

conference contribution
posted on 2014-01-01, 00:00 authored by Y Wang, W Chen, Y Li, W Wang, Chang-Tsun LiChang-Tsun Li
Minimization of perceptual and statistical distortions is one of the main challenges facing steganographic schemes. The most common approach to minimizing perceptual distortion is Least Significant Bit embedding. However, the statistical features (e.g., histogram) of the stego-images may be changed significantly even with selection of the regions of interest in the embedding process. This opens security gaps for steganal-ysis. To address this issue in this paper, we propose a novel steganographic algorithm, which is capable of preserving the histogram of the cover images in the stego-images and minimizing visual distortions. We partition the gray intensity scale into small segments and only allow the embedding process to modulate the gray intensity within the same segment. Randomization is employed to ensure the preservation of the histogram of cover images.

History

Event

International Association for Pattern Recognition. Workshop (2nd : 2014 : Valletta, Malta)

Series

International Association for Pattern Recognition Workshop

Pagination

1 - 4

Publisher

Institute of Electrical and Electronics Engineers

Location

Valletta, Malta

Place of publication

Piscataway, N.J.

Start date

2014-03-27

End date

2014-03-28

ISBN-13

9781479943708

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2014, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

IWBF2014 : Proceedings of the 2nd International Workshop on Biometrics and Forensics