Improved lower bounds on embedding distortion in information hiding

Younhee Kim; Zoran Duric; Dana Richards

doi:10.1117/12.767937

18 March 2008 Improved lower bounds on embedding distortion in information hiding

Younhee Kim, Zoran Duric, Dana Richards

Proceedings Volume 6819, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X; 681908 (2008) https://doi.org/10.1117/12.767937
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

The previous steganographic algorithm results in the modification of the image statistic, especially histogram of the coefficients. We propose a method to compensate for the histogram modification due to embedding. The new algorithm estimates the modification before the embedding process has started and modifies the histogram in advance so that the modification due to embedding is less noticeable. We have implemented our methods in Java and performed the extensive experiments with them. The experimental results have shown that our new method improves our previous steganographic algorithms by decreasing distortion and histogram modification.

Citation Download Citation

Younhee Kim, Zoran Duric, and Dana Richards "Improved lower bounds on embedding distortion in information hiding", Proc. SPIE 6819, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, 681908 (18 March 2008); https://doi.org/10.1117/12.767937

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available