A novel high-capacity data-embedding system
- 17 July 2006
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 15 (8), 2431-2440
- https://doi.org/10.1109/tip.2006.875238
Abstract
In this paper, we present a novel data-embedding system with high embedding capacity. The embedding algorithm is based on the quantized projection embedding method with some enhancement to achieve high embedding rates. In particular, our system uses a random permutation of the columns of a Hadamard matrix as projection vectors and a fixed perceptual mask based on the JPEG default quantization table for the quantization step design. As a result, the data-embedding system achieves 1/167 (1 bit out of 167 raw image bits) to 1/84 hiding ratios with a BER of around 0.1% in the presence of JPEG compression attacks, while maintaining visual distortion at a minimum.Keywords
This publication has 11 references indexed in Scilit:
- Achievable performance of digital watermarking systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Robust data hiding for imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A digital watermark based on the wavelet transform and its robustness on image compressionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Data hiding for video-in-videoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Energy allocation for high-capacity watermarking in the presence of compressionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- High-volume data hiding in images: Introducing perceptual criteria into quantization based embeddingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Progressive quantized projection watermarking schemePublished by Association for Computing Machinery (ACM) ,1999
- Multimedia data-embedding and watermarking technologiesProceedings of the IEEE, 1998
- Watermarking of uncompressed and compressed videoSignal Processing, 1998
- Techniques for data hidingIBM Systems Journal, 1996