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

Hamidi, Mohamed; Haziti, Mohamed El; Cherifi, Hocine; Hassouni, Mohammed El

doi:10.1007/s11042-018-5913-9

Cited by 76 publications

(45 citation statements)

References 35 publications

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“…Spatial domain algorithms are straightforward to perform but less robust to numerous attacks [4]. At the same time, transform domain algorithms [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] are robust against diverse attacks.…”

Section: Introductionmentioning

confidence: 99%

“…This method produces good imperceptible watermarked sounds; however, it has low robustness against salt-and-pepper noise, speckle noise, and rotation attacks. Hamidi et al [10] presented a blind image watermarking method using discrete Fourier transform (DFT) and DCT. This method provides good results for imperceptibility; however, the robustness of this method was tested against very few attacks such as salt and pepper noise, JPEG compression, histogram equalization, Gaussian noise, etc.…”

Section: Introductionmentioning

confidence: 99%

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Blind Color Image Watermarking Using Fan Beam Transform and QR Decomposition

2020

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Digital watermarking has been utilized effectively for copyright protection of multimedia contents. This paper suggests a blind symmetric watermarking algorithm using fan beam transform (FBT) and QR decomposition (QRD) for color images. At first, the original image is transferred from RGB to L*a*b* color model and FBT is applied to b* component. Then the b*component of the original image is split into m × m non-overlapping blocks and QRD is conducted to each block. Watermark data is placed into the selected coefficient of the upper triangular matrix using a new embedding function. Simulation results suggest that the presented algorithm is extremely robust against numerous attacks, and also yields watermarked images with high quality. Furthermore, it represents more excellent performance compared with the recent state-of-the-art algorithms for robustness and imperceptibility. The normalized correlation (NC) of the proposed algorithm varies from 0.8252 to 1, the peak signal-to-noise ratio (PSNR) varies from 54.1854 to 54.1892, and structural similarity (SSIM) varies from 0.9285 to 0.9696, respectively. In contrast, the NC of the recent state-of-the-art algorithms varies from 0.5193 to 1, PSNR varies from 38.5471 to 52.64, and SSIM varies from 0.9311 to 0.9663, respectively.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Blind Color Image Watermarking Using Fan Beam Transform and QR Decomposition

2020

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“…On the other hand, the transform domain technique is applied to coefficients obtained as the result of a frequency transform of either a whole image or single block-shaped regions of a frame. Discrete cosine transform (DCT) [4][5][6][7][8][9], discrete Fourier transform (DFT) [10,11] and discrete wavelet transform (DWT) [12][13][14][15][16] are commonly used frequency-domain techniques. Recently, some watermarking methods have been proposed that use various decomposition and transform techniques jointly [17][18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

“…In [10], a DFT-DCT based hybrid image watermarking technique is presented. The watermark bit is scrambled using Arnold transform and is later embedded into middle sub-band frequency.…”

Section: Introductionmentioning

confidence: 99%

Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling

et al. 2020

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Copyright protection of multimedia content is confronted with great challenges such as easy access to the Internet. Digital watermarking is widely applicable technique for copyright protection of multimedia contents. In this paper, a blind symmetric watermarking method in canonical and cepstrum domains based on four-connected t-o'clock scrambling is proposed. Initially, the watermark image is scrambled using the four-connected t-o'clock method to enhance the security. Then, the rotation operation is applied to the host image to extract the region where the watermark bits are embedded. After that, discrete linear canonical transform (DLCT) is applied to the extracted region to obtain the DLCT region. Cepstrum transform (CT) is performed on DLCT region to attain CT region. The CT region is then divided into non-overlapping blocks. The watermark bits are inserted into each block using max-heap and min-heap tree property. Experimental results illustrate that the proposed method shows high robustness against numerous attacks. Moreover, it produces high quality watermarked images and provides high security. Furthermore, it has superior performance to recent methods in terms of imperceptibility, robustness, and security.

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“…We note that the proposed method aims to protect copyright. It is worth mentioning that in contrast with the maturity of image watermarking techniques [1], there are only few watermarking methods that work on 3-D meshes. In addition, the processing techniques applied to 2D cannot be used in case of 3D meshes [2].…”

Section: Introductionmentioning

confidence: 99%

Blind Robust 3-D Mesh Watermarking Based on Mesh Saliency and QIM Quantization for Copyright Protection

Hamidi

Chetouani

Haziti

et al. 2019

Pattern Recognition and Image Analysis

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Due to the recent demand of 3-D models in several applications like medical imaging, video games, among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased considerably. The majority of robust 3-D watermarking techniques have essentially focused on the robustness against attacks while the imperceptibility of these techniques is still a real issue. In this context, a blind robust 3-D mesh watermarking method based on mesh saliency and Quantization Index Modulation (QIM) for Copyright protection is proposed. The watermark is embedded by quantifying the vertex norms of the 3-D mesh using QIM scheme since it offers a good robustness-capacity tradeoff. The choice of the vertices is adjusted by the mesh saliency to achieve watermark robustness and to avoid visual distortions. The experimental results show the high imperceptibility of the proposed scheme while ensuring a good robustness against a wide range of attacks including additive noise, similarity transformations, smoothing, quantization, etc.

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

Cited by 76 publications

References 35 publications

Blind Color Image Watermarking Using Fan Beam Transform and QR Decomposition

Blind Color Image Watermarking Using Fan Beam Transform and QR Decomposition

Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling

Blind Robust 3-D Mesh Watermarking Based on Mesh Saliency and QIM Quantization for Copyright Protection

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