Context Modeling and Entropy Coding of Wavelet Coefficients for Image Compression
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
A multiresolution watermark for digital images
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Copyright protection of images using robust digital signatures
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
DCT-based watermarking for video
IEEE Transactions on Consumer Electronics
Perceptual digital watermark of images using wavelet transform
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Digital watermarking using zerotree of DCT
IEEE Transactions on Consumer Electronics
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
Applications of universal context modeling to lossless compression of gray-scale images
IEEE Transactions on Image Processing
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Hidden digital watermarks in images
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A robust content-based digital image watermarking scheme
Signal Processing
Semi-fragile watermark for visual content authentication
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A robust spread spectrum watermarking method using two levels DCT
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Digital watermarking has been presented to protect the copyright of electronic multimedia data. The previous proposed watermarking algorithms mostly embed sequences of random numbers or binary images as the watermarks. In this paper, an image accreditation technique by embedding digital gray-level image watermarks in images is proposed. In the proposed method, the host image and the watermark are decomposed into wavelet coefficients. The contextual energies of the host-image wavelet coefficients are computed to select embedding coefficients. The watermark wavelet coefficients are sorted and then embedded in the selected host coefficients. The experiments show that the proposed method provides extra robustness against JPEG-compression, image-processing, and even composite attacks compared to the traditional embedding methods. Moreover, the proposed method has no need of the original image to extract the embedded watermarks. The proposed method facilitates electronic commerce application developers to select adequate digital watermarking techniques for their development systems.