Improving DFT-Based Image Watermarking Using Particle Swarm Optimization Algorithm
Por:
Cedillo-Hernandez, Manuel, Cedillo-Hernandez, Antonio, Garcia-Ugalde, Francisco J.
Publicada:
1 ago 2021
Resumen:
Robust digital image watermarking is an information security technique
that has been widely used to solve several issues related mainly with
copyright protection as well as ownership authentication. In general
terms, robust watermarking conceals a small signal called a
``watermark'' in a host image in a form imperceptible to human vision.
The efficiency of conventional robust watermarking based on frequency
domain depend directly on the results of performance in terms of
robustness and imperceptibility. According to the application scenario
and the image dataset, it is common practice to adjust the key
parameters used by robust watermarking methods in an experimental form;
however, this manual adjustment may involve exhaustive tasks and at the
same time be a drawback in practical scenarios. In recent years, several
optimization techniques have been adopted by robust watermarking to
allowing adjusting in an automatic form its key operation parameters,
improving thus its performance. In this context, this paper proposes an
improved robust watermarking algorithm in discrete Fourier transform via
spread spectrum, optimizing the key operation parameters, particularly
the amounts of bands and coefficients of frequency as well as the
watermark strength factor using particle swarm optimization in
conjunction with visual information fidelity and bit correct rate
criteria. Experimental results obtained in this research show improved
robustness against common signal processing and geometric distortions,
preserving a high visual quality in color images. Performance comparison
with conventional discrete Fourier transform proposal is provided, as
well as with the current state-of-the-art of particle swarm optimization
applied to image watermarking.
Filiaciones:
Cedillo-Hernandez, Manuel:
Cedillo-Hernandez, A (Corresponding Author), Tecnol Monterrey, Escuela Ingn & Ciencias, Av Eugenio Garza Sada 2501, Monterrey 64849, Mexico. Cedillo-Hernandez, Manuel, Inst Politecn Nacl SEPI ESIME Culhuacan, Av Santa Ana 1000 Culhuacan CTM V, Mexico City 04440, DF, Mexico. Cedillo-Hernandez, Antonio, Tecnol Monterrey, Escuela Ingn & Ciencias, Av Eugenio Garza Sada 2501, Monterrey 64849, Mexico. Garcia-Ugalde, Francisco J., Univ Nacl Autonoma Mexico, Fac Ingn, Ave Univ 3000 Ciudad Univ, Mexico C
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