DocumentCode
2964689
Title
Robust image watermark with wavelet transform and spread spectrum techniques
Author
Wang, Yu-Pin ; Chen, Mei-Juan ; Cheng, Po-Yuen
Author_Institution
Dept. of Electr. Eng., Nat. Dong-Hwa Univ., Taiwan
Volume
2
fYear
2000
fDate
Oct. 29 2000-Nov. 1 2000
Firstpage
1846
Abstract
The wavelet packet transform and spread spectrum techniques are used to achieve image watermark processing. In the first stage of the proposed method, the original image is converted to the frequency domain with the wavelet packet transform. The watermark is then embedded to the image by adding the data into the significant coefficients in the wavelet packet domain. With this scheme, the watermark data is not easily distorted when processing such as compression and translation are performed. In addition, the spread spectrum technique is adopted to increase the security of the watermark. The pseudo-noise sequence is utilized to decide which subband of the wavelet packet transform is performed such that only the authorized people who have the pattern of the pseudo-noise sequence can retrieve the watermark data. From the simulation results, the approach is shown to have a good performance and is robust to image processing and attack.
Keywords
copy protection; copyright; data compression; image coding; pseudonoise codes; security of data; spread spectrum communication; transform coding; wavelet transforms; compression; copyright protection; frequency domain; image watermark processing; pseudo-noise sequence; robust image watermark; simulation results; spread spectrum techniques; translation; watermark attack; watermark data; watermark detection; watermark security; wavelet coefficients; wavelet packet transform; Data security; Frequency domain analysis; Image coding; Image converters; Robustness; Spread spectrum communication; Watermarking; Wavelet domain; Wavelet packets; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-6514-3
Type
conf
DOI
10.1109/ACSSC.2000.911307
Filename
911307
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