DocumentCode
2690460
Title
Wavelet Tree Group Modulation (WTGM) for Digital Image Watermarking
Author
Tsai, Min-Jen ; Shen, Chang-Hsing
Author_Institution
Inst. of Inf. Manage., Nat. Chiao Tung Univ., Hsinchu
Volume
2
fYear
2007
fDate
15-20 April 2007
Abstract
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.
Keywords
image coding; modulation; watermarking; wavelet transforms; contrast sensitive function; copyright protection; differential energy watermarking; digital image watermarking; disjoint tree groups; group strategy; human visual system; noise visibility function; ownership verification; visual quality; wavelet tree group modulation; Copyright protection; Digital images; Digital modulation; Employment; Humans; Noise robustness; Quantization; Tree data structures; Watermarking; Wavelet coefficients; copyright protection; quantization; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location
Honolulu, HI
ISSN
1520-6149
Print_ISBN
1-4244-0727-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2007.366200
Filename
4217373
Link To Document