Estimation of rotation angle and anisotropic scaling rate using pilot signals for watermarking

We propose a method for simultaneously estimating the rotation angle and anisotropic scaling rates. Conventional watermarking methods are robust against non-geometric attacks. However, these methods need to synchronize to resist geometric attacks. Invariant features, such as SIFT, have been used for the synchronization. In this paper, we focus on pilot signals for estimating geometric attacks. By embedding a grid-shaped pilot signal and detecting its change, individual attacks on the scaling rate and rotation angle can be estimated. However, it has been difficult to estimate combined attacks. Our proposed method for estimating rotation angle and anisotropic scaling rates uses Radon coefficients. A Radon transform is applied to the signal obtained by QIM from a stego image. Periodic strong peaks appear in the coefficients at rotation angles. The period of the peaks is also calculated. From the rotation angle and the period at which the peaks appear, the rotation angle and the anisotropic scaling rates can be estimated. Computational results show that the rotation angle can be successfully estimated with an absolute error below 0.2 degrees. In more than half of the results, the absolute error of the anisotropic scaling rates was almost zero.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/apsipaasc63619.2025.10848801
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Estimation of rotation angle and anisotropic scaling rate using pilot signals for watermarking

Rinka Kawano, Masaki Kawamura
Advanced Steganography and Watermarking Techniques
article

Estimation of rotation angle and anisotropic scaling rate using pilot signals for watermarking

Rinka Kawano, Masaki Kawamura
article en

Abstract

We propose a method for simultaneously estimating the rotation angle and anisotropic scaling rates. Conventional watermarking methods are robust against non-geometric attacks. However, these methods need to synchronize to resist geometric attacks. Invariant features, such as SIFT, have been used for the synchronization. In this paper, we focus on pilot signals for estimating geometric attacks. By embedding a grid-shaped pilot signal and detecting its change, individual attacks on the scaling rate and rotation angle can be estimated. However, it has been difficult to estimate combined attacks. Our proposed method for estimating rotation angle and anisotropic scaling rates uses Radon coefficients. A Radon transform is applied to the signal obtained by QIM from a stego image. Periodic strong peaks appear in the coefficients at rotation angles. The period of the peaks is also calculated. From the rotation angle and the period at which the peaks appear, the rotation angle and the anisotropic scaling rates can be estimated. Computational results show that the rotation angle can be successfully estimated with an absolute error below 0.2 degrees. In more than half of the results, the absolute error of the anisotropic scaling rates was almost zero.

Yamaguchi University (JP)
Yamaguchi University, Telecommunications Advancement Foundation
Clean water and sanitation
Openalex Percentile: Top 74%
Advanced Steganography and Watermarking Techniques
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