Title :
A Semi-Blind Watermarking Scheme for Images using a Tree Structure
Author :
Elbasi, E. ; Eskicioglu, A.M.
Author_Institution :
CUNY, New York
Abstract :
In this paper, we embed the watermark in a tree structure in the Discrete Wavelet Transform domain. For watermark embedding, the two level DWT decomposition of an NxN gray scale image I is computed. The same PRN sequence is embedded into the DWT coefficients higher than a given threshold T1 in the LL2 and HH2 bands. The watermark is also embedded into the children of DWT coefficients. The original DWT coefficients are replaced by the modified DWT coefficients. The final step is to compute the inverse DWT to obtain the watermarked image I. For watermark detection, the DWT of the watermarked and possibly attacked image I* is computed. All the DWT coefficients higher than a given threshold T2 in the LL2 and HH2 bands are selected. Then the sum Z of all attacked DWT coefficients multiplied by either the embedded watermark or other random PRN sequence is computed, divided by the length of the PRN sequence. The sum is also computed for the children of modified DWT coefficients. A predefined threshold T is chosen for LL2 and HH2 bands and the HH1 band. In each band, if Z exceeds T, the conclusion is that the watermark is present.
Keywords :
discrete wavelet transforms; image coding; image colour analysis; watermarking; DWT; discrete wavelet transform; gray scale image; random PRN sequence; semiblind watermarking scheme; tree structure; watermark detection; Classification tree analysis; Computational Intelligence Society; Detection algorithms; Discrete wavelet transforms; Educational institutions; Embedded computing; Transform coding; Tree data structures; Watermarking; Wavelet domain; DWT; PRN sequence; semi-blind watermarking; tree structure;
Conference_Titel :
Sarnoff Symposium, 2006 IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-0002-7
DOI :
10.1109/SARNOF.2006.4534757