Xunzhan Zhu

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Digital image content authentication addresses the problem of detecting any illegitimate modification on the content of images. To cope with this problem, a novel semifragile watermarking scheme using the pinned sine transform (PST) is presented in this paper. The watermarking system can localize the portions of a watermarked image that have been tampered(More)
This paper presents a semi-fragile watermarking method for the automatic authentication and restoration of the content of digital images. Semi-fragile watermarks are embedded into the original image, which reflect local malicious tampering on the image. When tampered blocks are detected, the restoration problem is formulated as an irregular sampling(More)
In this paper, a fragile watermarking method for authentication of biomedical images is proposed in the z-transform domain based on the zero locations. The z­ transform is a convenient yet invaluable tool for representing, analyzing and designing discrete-time signals and system. Our watermarking method is designed by exploiting the sensitivity of the(More)
— A novel semi-fragile watermarking scheme for the content authentication of satellite images using the pinned sine transform (PST) is presented in this paper. In the PST domain , the image field is first decomposed into two mutually orthogonal sub-fields, namely, the boundary field and the pinned field. The watermark is embedded into the pinned field of(More)
Traffic image sequences are important information for the purpose of traffic system control and traffic accidents surveillance, for example, the determination of offending vehicles. A semi-fragile watermarking method for the automatic authentication and restoration of traffic images using irregular sampling is described. Watermarks are embedded into the(More)
In this paper, we propose a digital watermarking algorithm based on the Slant transform for the copyright protection of complex textured images. A lot of images in practical applications, such as remote sensing and medical archiv-ing, contain complex textures. With more AC energies concentrating in the high frequency components, images with complex textures(More)
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