A novel high-capacity data-embedding system.
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.
Lan
Tse-Hua
TH
EG Techonology, Inc., Atlanta, GA 30318, USA. jlan@egtinc.com
Tewfik
Ahmed H
AH
D000465:Algorithms; D003196:Computer Graphics; D016494:Computer Security; D044962:Data Compression / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010330:Patents as Topic; D010363:Pattern Recognition, Automated / Q000379:methods*; D011356:Product Labeling / Q000379:methods*; D012815:Signal Processing, Computer-Assisted