Improved quantization watermarking with an adaptive quantization step size and HVS

Authors:
Zhao Yuanyuan;Zhao Yao
Affiliations:
The Institute of Information Science, Beijing Jiaotong University, Beijing, China;The Institute of Information Science, Beijing Jiaotong University, Beijing, China
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2005

Citing 2
Cited 1

Quantization Index Modulation Methods for Digital Watermarking and Information Embedding of Multimedia

Journal of VLSI Signal Processing Systems - Special issue on multimedia signal processing
Image-adaptive watermarking using visual models

IEEE Journal on Selected Areas in Communications

Transcoding resilient video watermarking scheme based on spatio-temporal HVS and DCT

Signal Processing

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Abstract

This paper proposes a new image-adaptive watermarking technique which utilizes a new combination of an adaptive quantization step size and a HVS(human visual system) model in the wavelet domain. Here we use Quantization Index Modulation(QIM) method with an adaptive quantization step size to realize the embedding scheme. The HVS masking is accomplished pixel by pixel by take into account the luminance and the frequency content of all the image subbands. The watermarking consists of a pseudorandom sequence which is adaptively embedded into the subbands. As usual, the watermark bits are detected by a minimum distance detector. Experimental results prove the effectiveness of the new algorithm.