TY - GEN
T1 - Wavelet Tree Group Modulation (WTGM) for digital image watermarking
AU - Tsai, Min-Jen
AU - Shen, Chang Hsing
PY - 2007/8/6
Y1 - 2007/8/6
N2 - Differential Energy Watermarking (DEW) based techniques have been applied in DEW, modified schemes of DEW or Wavelet Tree Quantization (WTQ) algorithms by differentiating the transformed coefficient energy to verify the watermark embedding for copyright protection and ownership verification. In this paper, we present a novel differential energy watermarking algorithm based on the wavelet tree group modulation (WTGM) structure. The wavelet coefficients of the image are divided into disjoint tree groups and each tree group contains two sub tree groups. The watermark is embedded in the tree components using the group strategy such that the energy of tree groups is close and each sub-group performs different modulation for watermark embedding. Therefore, the employment of wavelet tree structure, sum-of-subsets and positive/negative modulation effectively improve the watermark robustness. In addition, the contrast sensitive function (CSF) and noise visibility function (NVF) of human visual system are also considered for the better visual quality of the watermarked image. The experimental results demonstrate the effectiveness of WTGM algorithm in terms of robustness and imperceptibility of watermarking.
AB - Differential Energy Watermarking (DEW) based techniques have been applied in DEW, modified schemes of DEW or Wavelet Tree Quantization (WTQ) algorithms by differentiating the transformed coefficient energy to verify the watermark embedding for copyright protection and ownership verification. In this paper, we present a novel differential energy watermarking algorithm based on the wavelet tree group modulation (WTGM) structure. The wavelet coefficients of the image are divided into disjoint tree groups and each tree group contains two sub tree groups. The watermark is embedded in the tree components using the group strategy such that the energy of tree groups is close and each sub-group performs different modulation for watermark embedding. Therefore, the employment of wavelet tree structure, sum-of-subsets and positive/negative modulation effectively improve the watermark robustness. In addition, the contrast sensitive function (CSF) and noise visibility function (NVF) of human visual system are also considered for the better visual quality of the watermarked image. The experimental results demonstrate the effectiveness of WTGM algorithm in terms of robustness and imperceptibility of watermarking.
KW - Copyright protection
KW - Quantization
KW - Wavelet
UR - http://www.scopus.com/inward/record.url?scp=34547495259&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2007.366200
DO - 10.1109/ICASSP.2007.366200
M3 - Conference contribution
AN - SCOPUS:34547495259
SN - 1424407281
SN - 9781424407286
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
BT - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
T2 - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Y2 - 15 April 2007 through 20 April 2007
ER -