New quantization matrices for JPEG steganography

Yesna O. Yildiz; Karen Panetta; Sos Agaian

doi:10.1117/12.719450

2 May 2007 New quantization matrices for JPEG steganography

Yesna O. Yildiz, Karen Panetta, Sos Agaian

Proceedings Volume 6579, Mobile Multimedia/Image Processing for Military and Security Applications 2007; 65790D (2007) https://doi.org/10.1117/12.719450
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Modern steganography is a secure communication of information by embedding a secret-message within a "cover" digital multimedia without any perceptual distortion to the cover media, so the presence of the hidden message is indiscernible. Recently, the Joint Photographic Experts Group (JPEG) format attracted the attention of researchers as the main steganographic format due to the following reasons: It is the most common format for storing images, JPEG images are very abundant on the Internet bulletin boards and public Internet sites, and they are almost solely used for storing natural images. Well-known JPEG steganographic algorithms such as F5 and Model-based Steganography provide high message capacity with reasonable security. In this paper, we present a method to increase security using JPEG images as the cover medium. The key element of the method is using a new parametric key-dependent quantization matrix. This new quantization table has practically the same performance as the JPEG table as far as compression ratio and image statistics. The resulting image is indiscernible from an image that was created using the JPEG compression algorithm. This paper presents the key-dependent quantization table algorithm and then analyzes the new table performance.

Citation Download Citation

Yesna O. Yildiz, Karen Panetta, and Sos Agaian "New quantization matrices for JPEG steganography", Proc. SPIE 6579, Mobile Multimedia/Image Processing for Military and Security Applications 2007, 65790D (2 May 2007); https://doi.org/10.1117/12.719450

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