Abstract
In mobile environment, a low-complexity is the significant feature because the mobile device has very limited resources due to power consumption. In this paper, we propose a low-complexity watermarking scheme for mobile device. We apply the minimum average correlation energy Mellin radial harmonic (MACE-MRH) correlation filter to watermark detection. By the scale tolerance property of MACE-MRH correlation filter, the proposed watermark detector can be robust to scaling attacks. Empirical evidence from a large database of test images indicates outperforming performance of the proposed method.
Highlights
With the development of mobile devices, the copyright protection on mobile devices has become more important
The MACE-MRH correlation filter is based on the Mellin radial harmonic (MRH) transform, given by the following pair of equations:
Where PF(φ) is the average power spectrum of the reference pattern obtained by computing the average of F(ρ, φ)2 along the radial axis.The MACE-MRH correlation filter is designed to minimize the average correlation energy (ACE) in Equation (8) while satisfying the relationship in Equation (5)
Summary
With the development of mobile devices, the copyright protection on mobile devices has become more important. The watermark was composed of the mean of several functions of the second and third order scaling invariant moments Their method was to be robust to geometric manipulations [5]. We propose a low-complexity watermarking method to be robust scaling attacks. To be robust to scaling distortion, we adopt the minimum average correlation energy Mellin radial harmonic (MACE-MRH) correlation filter to watermark detection. The MACE-MRH correlation filter is based on the Mellin radial harmonic (MRH) transform, given by the following pair of equations:. Where PF(φ) is the average power spectrum of the reference pattern obtained by computing the average of F(ρ, φ) along the radial axis.The MACE-MRH correlation filter is designed to minimize the ACE in Equation (8) while satisfying the relationship in Equation (5). The correlation filter H(u, v) is found by applying the inverse MRH transforms of Hm(φ) and applying a polar-to-cartesian coordinate transform
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