A robust information hiding methodology in wavelet domain

Authors:
Ming Yang;Monica Trifas;Nikolaos Bourbakis;Christopher Cushing
Affiliations:
Jacksonville State University, Jacksonville, AL;Jacksonville State University, Jacksonville, AL;Wright State University, Dayton, OH;Jacksonville State University, Jacksonville, AL
Venue:
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Year:
2007

Citing 5
Cited 2

Methods for encrypting and decrypting MPEG video data efficiently

MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
An Empirical Study of Secure MPEG Video Transmissions

SNDSS '96 Proceedings of the 1996 Symposium on Network and Distributed System Security (SNDSS '96)
Implications for High Capacity Data Hiding in Presence of Lossy Compression

ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
The Choice of Watermark Domain in the Presence of Compression

ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
A Novel Approach for Increasing Security and Data Embedding Capacity in Images for Data Hiding Applications

ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing

Subject Integration and Applications of Neural Networks

ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
A Comparative Survey on Cryptology-Based Methodologies

International Journal of Information Security and Privacy

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the proliferation of digital multimedia, information hiding techniques have become more attractive to the researchers. High bitrate information hiding is different from digital watermarking: the former one tries to hide relatively large amount of auxiliary information instead of just one or a few verification bits. This paper presents a novel Discrete Wavelet Transform (DWT) domain high bitrate information hiding algorithm. In the proposed algorithm, the coefficients within the approximation subband of the one-level wavelet decomposition are grouped into vectors to embed information bits. Low-frequency coefficients have been chosen for information hiding due to their relatively large amplitudes and the corresponding smaller step size in JPEG2000 quantization. A mathematical model is proposed to predict the Bit-Error-Rate (BER) of the algorithm under JPEG2000 compression. The proposed algorithm has reached an initial channel capacity of 1/64 bits per pixel (bpp). With performance improvements, the channel capacity has been increased to 1/32bpp and 1/16bpp, at the price of slightly higher BER. Preliminary experiments indicate that the algorithm is robust and most of the hidden information survives JPEG2000 compression.