Paper
29 April 2002 Theoretical framework for watermark capacity and energy estimation
Ruizhen Liu, Tieniu Tan
Author Affiliations +
Proceedings Volume 4675, Security and Watermarking of Multimedia Contents IV; (2002) https://doi.org/10.1117/12.465301
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
In this paper, a theoretical framework for image watermark capacity estimation is derived. We present one general watermarking embedding scheme which is based on unitary transforms and adapts the additive watermarking model. In this general frame, simple and elegant formulas about the relationship of robustness and imperceptibility are derived. Hence a direct link between watermark capacity and image quality metrics is established for a given level of perceptual image distortion. The main work of this paper consists of four parts: (1) a general watermark embedding framework, which is based on two basic assumptions (unitary transform and additive watermark embedding model) and also includes the case of using block unitary transformation (such as 8-by-8 block DCT in JPEG and MPEG-1/2); (2) under the above two assumptions, we obtain two important relationships between watermark capacity or energy and image quality measures (one for PSNR and another for HVS-based WPSNR); (3) in addition the paper proves that for block unitary transforms, the above estimated relationships are also held. So it is very helpful for watermark capacity and energy analysis in JPEG and MPEG based watermarking schemes.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruizhen Liu and Tieniu Tan "Theoretical framework for watermark capacity and energy estimation", Proc. SPIE 4675, Security and Watermarking of Multimedia Contents IV, (29 April 2002); https://doi.org/10.1117/12.465301
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Cited by 3 scholarly publications.
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KEYWORDS
Digital watermarking

Transform theory

Image quality

Distortion

Error analysis

Image analysis

Signal to noise ratio

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