DocumentCode
2801102
Title
Pair digital watermarking based on unsupervised learning
Author
Kun, She ; Jun-cai, Huang ; Ming-tian, Zhou
Author_Institution
Comput. Sci. & Tech. Coll., Electron. Sci.&Tech. Univ., Chengdu, China
Volume
2
fYear
2003
fDate
8-13 Oct. 2003
Firstpage
1250
Abstract
A novel technique for the digital watermarking of still color images based on the concept of color space transform, wavelet fusion and image denoising is present. Algorithm transform R,G, B color space to R´,G´,B´ color space firstly, which construct three grey images, then compute the 2Lth-level discrete wavelet decomposition of the three grey images. Embedding watermark fuse a grey image(watermark) with each of the three images´ wavelet coefficients then transform R´,G´B´ color space to R,G,B color space to obtain the watermarked color image. When extract watermark, distill two grey images X1,X2 from the two of three wavelet coefficients, then use unsupervised ANN to denoise and get grey image(watermark) W. Test results show the superior performance of the technique and potential for the watermarking of photographic imagery.
Keywords
discrete wavelet transforms; image colour analysis; image denoising; neural nets; unsupervised learning; watermarking; RGB color space; color space transform; digital watermarking; discrete wavelet decomposition; grey images; image denoising; photographic imagery; still color images; unsupervised ANN; unsupervised learning; wavelet coefficients; wavelet fusion; Color; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Image denoising; Robustness; Testing; Unsupervised learning; Watermarking; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN
0-7803-7925-X
Type
conf
DOI
10.1109/RISSP.2003.1285771
Filename
1285771
Link To Document