High-bitrate multimedia information hiding for digital image/video under lossy compression

Ming Yang; Nikolaos G. Bourbakis

doi:10.1117/1.2437725

1 January 2007 High-bitrate multimedia information hiding for digital image/video under lossy compression

Ming Yang, Nikolaos G. Bourbakis

Author Affiliations +

Journal of Electronic Imaging, Vol. 16, Issue 1, 013008 (January 2007). https://doi.org/10.1117/1.2437725

Abstract

With the proliferation of digital multimedia content, information hiding techniques have attracted more and more research interests. Information hiding not only hides the content and location of the protected data, but also hides its very existence. High-bitrate information hiding is different from digital watermarking in that it tries to hide relatively large amounts of auxiliary information instead of just one or a few verification bits. This research is mainly concerned with channel capacity and robustness to lossy image/video codec. In the proposed DCT (discrete cosine transformation) domain algorithm, 1 bit is hidden within each 8×8 DCT coefficient block by means of vector quantization. A mathematical model has been proposed to predict the bit error rate (BER) of the algorithm under transformation-based lossy compression. The channel capacity can be increased 4-fold with further performance improvement. Digital video information hiding is a natural extension of digital image information hiding. Experimental results show that the proposed algorithm is very robust to lossy image/video codec. It is also observed that hidden information within different types of frames/slices have different levels of robustness against H.264/AVC compression. The proposed algorithm shall be very useful in practical applications such as side information delivery, captioning, video-in-video, and speech-in-video.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Ming Yang and Nikolaos G. Bourbakis "High-bitrate multimedia information hiding for digital image/video under lossy compression," Journal of Electronic Imaging 16(1), 013008 (1 January 2007). https://doi.org/10.1117/1.2437725

Published: 1 January 2007

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