Feature Image Watermarking Based on Bicubic Interpolation of Wavelet Coefficients Using CRT

Authors

  • Prajanto Wahyu Adi Universitas Dian Nuswantoro
  • Yani Parti Astuti Universitas Dian Nuswantoro
  • Egia Rosi Subhiyakto Universitas Dian Nuswantoro

DOI:

https://doi.org/10.21512/commit.v11i2.3870

Keywords:

Watermarking, CRT, Bicubic Interpolation, Wavelet

Abstract

The main objective of watermarking method is to improve the robustness and imperceptibility. This paper introduces an improved CRT watermarking method using absolute value of interpolated wavelet coefficients aiming to improve the imperceptibility and robustness. The standard CRT method embeds the watermark bits on the blocks of pixels evenly. Hence, it can significantly reduce the quality of watermarked images when the watermark lies on the homogeneous area. Otherwise, the proposed method is embedding the watermark bits on the heterogeneous area by sorting the absolute magnitude of wavelet coefficients descending. The wavelet
coefficients are selected from high frequency wavelet sub band HH. This scheme is able to determine the appropriate embedding location in certain range of value. The watermark bits are then embedding on the selected
pixel value using CRT scheme. The result shows that the average imperceptibility value the CRT is 0.9980 while the proposed method has average value of 0.9993. On robustness against compression, the proposed method achieves better result compared to the CRT with the average NC values of 0.7916 higher than the CRT value of 0.7530. These prove that the proposed method has better performance in term of imperceptibility and robustness against compression than the CRT method.

Dimensions

Plum Analytics

Author Biographies

Prajanto Wahyu Adi, Universitas Dian Nuswantoro

Lecturer at Department Informatics

Faculty of Computer Science

Universitas Dian Nuswantoro

Yani Parti Astuti, Universitas Dian Nuswantoro

Lecturer at Department Informatics

Faculty of Computer Science

Universitas Dian Nuswantoro

Egia Rosi Subhiyakto, Universitas Dian Nuswantoro

Lecturer at Department Informatics

Faculty of Computer Science

Universitas Dian Nuswantoro

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Published

2017-10-31
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