Perceptual DFT Watermarking With Improved Detection and Robustness to Geometrical Distortions

Urvoy, M; Goudia, Dalila; Autrusseau, Florent

doi:10.1109/tifs.2014.2322497

Cited by 117 publications

(47 citation statements)

References 34 publications

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“…In this way, a "plain" block will have less distortion than a "textured" block with the aim to limit the ability of an observer to perceive the embedded watermark signal. A similar approach is employed in [15], where an HVS-based model is used to determine the optimal strength at which the watermark signal reaches the visibility threshold. In both cases, the HVS propertiesare used to locate highly textured regions from the whole image with the main objective of adjust the watermark strength and thus regulate how perceptible is for human observers.…”

Section: Related Workmentioning

confidence: 99%

“…Our proposal is based on a detailed analysis of the spatial information of the portrait image and considering the Human Visual System (HVS) properties. HVS properties such as luminance and texture are often utilized in invisible watermarking approaches [14], [15]. Hence, the location of such regions within an image may help to adapt the distortion caused by the watermarking embedding process and permits to take advantage of the reduced capability to detect such changes by the human eye.…”

Section: Introductionmentioning

confidence: 99%

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A Visible Watermarking with Automated Location Technique for Copyright Protection of Portrait Images

Cedillo-Hernandez

Cedillo-Hernández

García-Ugalde

et al. 2016

IEICE Trans. Inf. & Syst.

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SUMMARYA visible watermarking technique to provide copyright protection for portrait images is proposed in this paper. The proposal is focused on real-world applications where a portrait image is printed and illegitimately used for commercial purposes. It is well known that this is one of the most difficult challenges to prove ownership through current watermark techniques. We propose an original approach which avoids the deficiencies of typical watermarking methods in practical scenarios by introducing a smart process to automatically detect the most suitable region of the portrait image, where the visible watermark goes unnoticed to the naked eye of a viewer and is robust enough to remain visible when printed. The position of the watermark is determined by performing an analysis of the portrait image characteristics taking into account several conditions of their spatial information together with human visual system properties. Once the location is set, the watermark embedding process is performed adaptively by creating a contrast effect between the watermark and its background. Several experiments are performed to illustrate the proper functioning of the proposed watermark algorithm on portrait images with different characteristics, including dimensions, backgrounds, illumination and texture, with the conclusion that it can be applied in many practical situations.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Visible Watermarking with Automated Location Technique for Copyright Protection of Portrait Images

Cedillo-Hernandez

Cedillo-Hernández

García-Ugalde

et al. 2016

IEICE Trans. Inf. & Syst.

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“…The existing algorithms can be also classified into spatial and transform domains. Spatial domain techniques [5] embed the watermark by directly modifying the image pixels, whereas in frequency domain techniques [6] a transformation is first performed and then the watermark is embedded into discrete cosine transform (DCT) [7][8] [18] [19], discrete wavelet transform (DWT) [9][17] [16] [22] or discrete Fourier transform (DFT) coefficients [10] [11]. For applications, such as authentication, tamper detection, copyright protection, it is desirable to be able to extract the watermark without the original image.…”

Section: Introductionmentioning

confidence: 99%

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Hamidi

Haziti

Cherifi

et al. 2018

Multimed Tools Appl

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In this paper, a robust blind image watermarking method is proposed for copyright protection of digital images. This hybrid method relies on combining two well-known transforms that are the discrete Fourier transform (DFT) and the discrete cosine transform (DCT). The motivation behind this combination is to enhance the imperceptibility and the robustness. The imperceptibility requirement is achieved by using magnitudes of DFT coefficients while the robustness improvement is ensured by applying DCT to the DFT coefficients magnitude. The watermark is embedded by modifying the coefficients of the middle band of the DCT using a secret key. The security of the proposed method is enhanced by applying Arnold transform (AT) to the watermark before embedding. Experiments were conducted on natural and textured images. Results show that, compared with state-of-the-art methods, the proposed method is robust to a wide range of attacks while preserving high imperceptibility.

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“…Among these cases, we find the Discrete Fourier Transform (DFT), the Discrete Wavelet Transform (DWT), the Discrete Cosine Transform (DCT), the Contourlet transform, and other techniques. [4][5][6][7][8][9][10][11][12]. Nevertheless, their use does not guarantee by itself a robust watermarking technique.…”

Section: Introductionmentioning

confidence: 99%

A Perceptive Approach to Digital Image Watermarking Using a Brightness Model and the Hermite Transform

Escalante-Ramı́rez

Gomez-Coronel

2018

Mathematical Problems in Engineering

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This work presents a watermarking technique in digital images using a brightness model and the Hermite Transform (HT). The HT is an image representation model that incorporates important properties of the Human Vision System (HVS), such as the analysis of local orientation, and the model of Gaussian derivatives of early vision. The proposed watermarking scheme is based on a perceptive model that takes advantage of the masking characteristics of the HVS, thus allowing the generation of a watermark that cannot be detected by a human observer. The mask is constructed using a brightness model that exploits the limited sensibility of the human visual system for noise detection in areas of high or low brightness. Experimental results show the imperceptibility of the watermark and the fact that the proposed algorithm is robust to most common processing attacks. For the case of geometric distortions, an image normalization stage is carried out prior to the watermarking.

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Perceptual DFT Watermarking With Improved Detection and Robustness to Geometrical Distortions

Cited by 117 publications

References 34 publications

A Visible Watermarking with Automated Location Technique for Copyright Protection of Portrait Images

A Visible Watermarking with Automated Location Technique for Copyright Protection of Portrait Images

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

A Perceptive Approach to Digital Image Watermarking Using a Brightness Model and the Hermite Transform

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