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An improved correlation-based watermarking method for images using a nonlinear programming algorithm

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1 Author(s)
Miyazaki, A. ; Kyushu Sangyo Univ., Japan

Summary form only given. This paper aims to improve the accuracy of watermark detection in correlation-based watermarking methods for images. In the correlation-based watermarking method, watermark detection is carried out by computing the correlation between a watermarked image and a pseudorandom code to be checked for its presence. Hence its accuracy depends on the characteristics of host images. In this paper, we first show an experimental result that a certain image may cause watermark detection errors. Then we develop an improved version of the watermark embedding process to be effective in such a situation. The improvement is accomplished by designing a whitening filter using a nonlinear programming algorithm. Numerical experiments show good performance as expected by us.

Published in:

Nonlinear Signal and Image Processing, 2005. NSIP 2005. Abstracts. IEEE-Eurasip

Date of Conference:

18-20 May 2005