Paper
14 November 2007 On the fragility of the binary phase-only filter based digital image watermarking
Xiaohong Zhu, Junfeng Wu, Jun Sang
Author Affiliations +
Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67905A (2007) https://doi.org/10.1117/12.751141
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
To use fragile/semi-fragile digital watermarking for image authentication, fragility of the embedded watermark to the malicious attacks is very important to illustrate the authentication degree. A fragile/semi-fragile watermarking scheme should be sensitive to any modifications or malicious attacks, while semi-fragile watermarking accepts some incidental manipulations, such as JPEG compression. The binary phase-only filter (BPOF) based watermarking proposed by F. Ahmed et al., takes the BPOF of the Fourier spectrum of an image as the watermark and embed it into the corresponding magnitude. The authors claimed that the method is a semi-fragile watermarking since it can resist some image processing manipulations. However, they did not discuss the fragility of the technique to the malicious attacks, such as image tampering. In this paper, we analyzed the fragility of the binary phase-only based digital image watermarking via experiments and concluded that this technique works better for fragile watermarking than for semi-fragile watermarking.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaohong Zhu, Junfeng Wu, and Jun Sang "On the fragility of the binary phase-only filter based digital image watermarking", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67905A (14 November 2007); https://doi.org/10.1117/12.751141
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KEYWORDS
Digital watermarking

Phase only filters

Image compression

Image quality

Digital imaging

Digital filtering

Image filtering

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