Embedding Watermark in the Magnitude Matrix of the DFT of Image

Guezouli, Larbi; Roumaissa, Hachani; Sara, Herri

doi:10.1145/3232829.3232831

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…The method is robust against various attacks. There are some other methods where DFT is used [30][31][32][33]. Besides, there exist other transform domain methods using decomposition or optimization algorithms [34][35][36][37][38][39].…”

Section: Related Workmentioning

confidence: 99%

Implementation of Secured and Robust DFT-Based Image Watermark Through Hybridization with Decomposition Algorithm

Begum

Uddin

2021

SN COMPUT. SCI.

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Robust as well as secure image watermarking is capable of providing a promising solution in many copyright protection applications. In this paper, an improved image watermarking scheme based on DFT with a decomposition algorithm is proposed. First, two dimensional (2D) Fast Fourier Transform (FFT) is applied to the host image, and then its singular value decomposition (SVD) is performed. Second, the watermark image is encrypted with a chaotic map for ensuring security against unauthorized detection, and then its 2D FFT and SVD are also performed. Third, the singular values of the watermark image are embedded into the singular values of the host image. The hybridization of DFT with SVD ensures the increasing performance of the watermarking system from the perspectives of visual distortion and robustness. Experimental results show that our proposed method is highly robust and also imperceptible with a large watermark size and increased security than the classical DFT-based methods.

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Section: Related Workmentioning

confidence: 99%

Implementation of Secured and Robust DFT-Based Image Watermark Through Hybridization with Decomposition Algorithm

Begum

Uddin

2021

SN COMPUT. SCI.

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Screen-Cam Robust and Blind Watermarking for Tile Satellite Images

et al. 2020

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To achieve watermark synchronization from an image with perspective distortion is a challenge. This paper proposes a screen-cam robust and blind watermarking scheme for tile satellite images, which means we do not need any user interaction or additional information in watermark detection. To achieve this, at the watermark embedding side, we divide tiles into synchronization tiles and message tiles, and propose a discrete Fourier transform (DFT) based embedding method to cope with the quality degradation caused by screen-cam process. At the extraction side, based on the idea of template matching, we first use a synchronization response index to estimate an appropriate scale level and positions of embedded synchronization watermarks from the noise component, which is estimated by Wiener filter. Then, we propose verification, selection, and precise locations methods to ensure the effectiveness and accuracy of synchronization detection results. After that, we can extract the regions of message tiles. Finally, we extract watermark message based on the local max value from the DFT domain of the noise component. Experimental results demonstrate the validity of the proposed scheme against common attacks and screen-cam attack with a tripod as well as handhold shooting. INDEX TERMS Screen-cam process, robust watermark, tile satellite images, blind detection, synchronization.

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