Improvement of DWT-SVD with Curve Fitting and Robust Regression: An Application to Astronomy Images

Authors

  • Talha Karadeniz
  • Ersin Elbasi

DOI:

https://doi.org/10.5755/j01.eie.22.3.15319

Keywords:

Watermarking, discrete wavelet transforms, eigenvalues and eigenfunctions, curve fitting

Abstract

DWT-SVD is a frequency domain based eigenanalysis watermarking technique. In this work, we improve this method by exploring the relationship between the cover image’s DWT singular values and those of the watermark. We show that, via the usage of curve fitting and robust regression, it is possible to achieve accurate results. We also demonstrate that the improved scheme is suitable for the watermarking of astronomy images. In addition to encoding and decoding examples, statistical results on stealth and robustness are deduced from the experiments so that the clear advance can be observed. Quality of the watermark is measured by testing against various attack types.

DOI: http://dx.doi.org/10.5755/j01.eie.22.3.15319

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Published

2016-06-17

How to Cite

Karadeniz, T., & Elbasi, E. (2016). Improvement of DWT-SVD with Curve Fitting and Robust Regression: An Application to Astronomy Images. Elektronika Ir Elektrotechnika, 22(3), 78 - 82. https://doi.org/10.5755/j01.eie.22.3.15319

Issue

Vol. 22 No. 3 (2016)

Section

SIGNAL TECHNOLOGY

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