Wavelet-Domain Image Watermarking Based on Statistical Metrics
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Perceptual Digital Watermarking for Image Authentication in Electronic Commerce
Electronic Commerce Research
Adaptive quantization of wavelet packet coefficients for image watermarking
MUSP'08 Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing
An adaptive steganographic method based on the measurement of just noticeable distortion profile
Image and Vision Computing
A weberized total variation regularization-based image multiplicative noise removal algorithm
EURASIP Journal on Advances in Signal Processing
Multiplicative noise removal via a novel variational model
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Digital watermarking for multimedia protection
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
A high robust blind watermarking algorithm in DCT domain
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Automatic proxy-based watermarking for WWW
Computer Communications
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A perceptually based watermarking technique for an image is proposed. Based on the just-noticeable difference model in the wavelet domain, the watermark is inserted in the wavelet coefficients and its amplitudes are controlled by the wavelet coefficients so that watermark noise does not exceed the just-noticeable difference of each wavelet coefficient. Meanwhile, the order of inserting watermark noise in the wavelet coefficients is the same as the order of the visual significance of the wavelet coefficients. Hence, our approach is adapted with the image content and transparency, and the robustness of the digital watermark can be guaranteed. Experimental results show our approach has excellent performance in the quality of the watermarked images and the robustness of the watermark