PSteg: Steganographic embedding through patching

Kyle Petrowski, Mehdi Kharrazi, Husrev T. Sencar, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we propose a novel approach to image steganography in which embedding is done without making explicit modifications to the image; that is, the embedding distortion introduced to the cover image is both perceptually and statistically ensured to be less detectable. If an image is divided into blocks and each block is hashed, then the hash values could represent the embedded message content. A set of replacement blocks can be obtained by consecutively capturing images of the same scene (or resampling the incident light). Since image content remains the same and noise is sampled, the set of replacements are statistically compatible while still providing unique hash values. With such an approach the embedder can choose the block with hash value corresponding to the message content without violating any of the natural image statistics. When applied to JPEG images, experiments show that this technique can achieve embedding rates of.063 bits per DCT coefficient or.157 bits per nonzero DCT coefficient while still remaining undetectable by Farid's universal steganalysis tool.

Original languageEnglish (US)
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
PagesII537-II540
DOIs
StatePublished - 2005
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: Mar 18 2005Mar 23 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeII
ISSN (Print)1520-6149

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA
Period3/18/053/23/05

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'PSteg: Steganographic embedding through patching'. Together they form a unique fingerprint.

Cite this