Spread Transform Watermarking for Digital Multimedia Using the Complex Wavelet Domain

Spread Transform Watermarking for Digital Multimedia Using the Complex Wavelet Domain
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DOI:
10.1109/bliss.2007.39
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发表时间:
2007-08
期刊:
2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS 2007)
影响因子:
--
通讯作者:
A. Thompson;A. Bouridane;F. Kurugollu
A. Thompson;A. Bouridane;F. Kurugollu
中科院分区:
其他
文献类型:
--
作者:
A. Thompson;A. Bouridane;F. Kurugollu

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复数小波比离散采样的小波具有更好的方向性和平移不变性,从而能够更好地表示图像特征。这对于水印的嵌入和人类视觉系统的建模具有重要的意义,这对于满足水印系统的不可感知性要求是重要的。此外,扩展变换水印是一种结合了扩频和基于量化的数据隐藏算法的优点的方法,提供了更好的容量和稳健性。本文将扩展变换嵌入和复数小波域应用于灰度、彩色图像和视频水印。
Complex wavelets offer several improvements over their discretely sampled counterparts such as improved directionality and shift invariance allowing for better representation of image features. This has important implications for watermark embedding and modelling of the human visual system that is important to satisfy the imperceptibility requirement of watermarking systems. In addition spread transform watermarking has emerged as a method of combining the advantages of spread spectrum and quantization based data hiding algorithms, offering improved levels of capacity and robustness. This paper applies spread transform embedding and the complex wavelet domain to the case of grey scale, colour image and video watermarking.