—Dual-Tree Complex Wavelet Transform is relatively a recent improvement of the Discrete Wavelet Transform (DWT) with important additional properties like shift invariant and directionality. In this paper, we propose a blind watermarking scheme based on Complex Double Haar Wavelet Transform (CDHWT). Single level CDHWT is applied on host image, it decompose the original image into dual nine subbands and single level DHWT is applied to the binary watermark, it decompose the binary image into nine subbands. Eigen values of the selected subband are replaced by the Eigen values of the selected subband of binary watermark which is multiplied by an appropriate strength factor. There is no need of host image and original watermark to extract the watermark from the test image. An experimental result showed that the proposed scheme achieved very high imperceptibility and Robustness against various image processing attacks like JPEG compression, low pass filtering, median filtering, addition of noise, rotation, cropping and histogram equalization etc.
—M-Channel filter bank, DHWT, CDHWT, SVD and digital watermarking.
S. Maheswari is with the Kongu Engineering College, Perundurai, Erode-638052, Tamil Nadu, India (e-mail: email@example.com).
K. Rameshwaran is with the JJ College of Engineering and Technology, Ammapet, Triuchirapalli-620009, Tamil Nadu, India (e-mail: krameshwaran @gmail.com).
Cite: S. Maheswari, Member, IACSIT, and K. Rameshwaran, "Robust Blind Complex Double Haar Wavelet Transform Based Watermarking Algorithm for Digital Images," International Journal of Engineering and Technology vol. 3, no. 6, pp. 638-645, 2011.