IBM Systems Journal
A filter bank for the directional decomposition of images: theoryand design
IEEE Transactions on Signal Processing
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
Improved wavelet-based watermarking through pixel-wise masking
IEEE Transactions on Image Processing
Dual domain watermarking for authentication and compression of cultural heritage images
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
Image compression using the 2-D wavelet transform
IEEE Transactions on Image Processing
A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive image watermarking scheme in contourlet transform using singular value decomposition
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 2
An actual blind detection watermark approach based on CT and ICA
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
Enhancing robustness of digital image watermarks using contourlet transform
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Geometric attack resistant image watermarking based on MSER
Frontiers of Computer Science: Selected Publications from Chinese Universities
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In the contourlet transform (CT), the Laplacian pyramid (LP) decomposes an image into a low-frequency (LF) subband and a high-frequency (HF) subband. The LF subband is created by filtering the original image with 2-D low-pass filter. However, the HF subband is created by subtracting the synthesized LF subband from the original image but not by 2-D high-pass filtering the original image. In this paper, we propose a contourlet-based image adaptive watermarking (CIAW) scheme, in which the watermark is embedded into the contourlet coefficients of the largest detail subbands of the image. The transform structure of the LP makes the embedded watermark spread out into all subbands likely in which the LF subbands are included when we reconstruct the watermarked image based on the watermarked contourlet coefficients. Since both the LF subbands and the HF subbands contain watermarking components, our watermarking scheme is expected to be robust against both the LF image processing and the HF image processing attacks. The corresponding watermarking detection algorithm is proposed to decide whether the watermark is present or not by exploiting the unique transform structure of LP. With the new proposed concept of spread watermark, the watermark is detected by computing the correlation between the spread watermark and the watermarked image in all contourlet subbands fully. The proposed CIAW scheme is particularly superior to the conventional watermarking schemes when the watermarked image is attacked by some image processing methods, which destroy the HF subbands, thanks to the watermarking components preserved in the LF subbands. Experimental results show the validity of CIAW in terms of both the watermarking invisibility and the watermarking robustness. In addition, the comparison experiments prove the high-efficiency of CIAW again.