FPGA Implementation of Digital Images Watermarking System Based on Discrete Haar Wavelet Transform

Hajjaji, Mohamed Ali; Gafsi, Mohamed; Abdelali, Abdessalem Ben; Mtibaa, Abdellatif

doi:10.1155/2019/1294267

Cited by 34 publications

(16 citation statements)

References 19 publications

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“…Several hardware implementations of reversible watermarking (RW) [32]- [39] are available in the existing literature. The Very Large Scale Integration (VLSI) architecture for a conventional watermarking algorithm in the spatial domain proposed by Gerimella et al [33] might be considered as a noteworthy early work.…”

Section: B Hardware Implementationmentioning

confidence: 99%

“…Apart from these VLSI architectures, there are a few FPGA-based implementations [32], [36]- [39] in the recent literature. In [36], Basu et al suggested a hardware implementation of a fragile watermarking system operating in the spatial domain.…”

Section: B Hardware Implementationmentioning

confidence: 99%

“…An invisible robust videowatermarking approach that also based on the DCT has been presented in [38], which uses integer arithmetic units and is readily adaptable to the H.264 standard. Watermark embedding using the discrete haar wavelet transform approach is stated in [39]. The main disadvantage of the proposed system is that the corresponding hardware design consumed huge hardware resources despite that the system used only the DWT tool.…”

Section: B Hardware Implementationmentioning

confidence: 99%

See 2 more Smart Citations

A Digital Watermarking Encryption Technique Based on FPGA Cloud Accelerator

2020

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Digital watermarking has the properties such as invisibility and anti-aggression, so the digital watermarking technology has been widely used in copyright protection, information hiding. The watermarking technology takes into account the invisibility and robustness of the watermark by controlling the embedding intensity and position of the watermark mainly in the transformation domain. In this paper, discrete cosine transform (DCT) is adopted to transform the given image from spatial domain to frequency domain for adding watermark information. In order to meet the demands of image watermarking batch processing and cloud processing in the future, this paper optimized the DCT algorithm and the data precision, and successfully deployed the designed accelerator kernel on the FPGA cloud platform to speed up the processing of watermarking. The implementation of data processing based on cloud platform is the development trend of big data era. The cloud platform adopted in this paper is based on the OpenCL heterogeneous architecture combining CPU and FPGA. The cloud-based implementation makes digital watermarking application highly extensible, widely shareable, and more secure. The whole system implements a series of complete cloud processes including image decoding, image preprocessing, watermark embedding, and watermarked image encoding. The watermarking algorithm is accelerated by the efficient parallel computing capabilities of FPGA. It can be seen that the result of acceleration is remarkable, providing the state-of-the-art throughput of 1.676 GBps and the highest processing speed of 937 FPS for 800 × 800 sized colorimage. INDEX TERMS Cloud services, parallel operation, integer DCT, data encryption and watermarking, heterogeneous architecture.

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Section: B Hardware Implementationmentioning

confidence: 99%

Section: B Hardware Implementationmentioning

confidence: 99%

Section: B Hardware Implementationmentioning

confidence: 99%

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A Digital Watermarking Encryption Technique Based on FPGA Cloud Accelerator

2020

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“…There are several components from the MATLAB/Simulink library that enable direct programming: C code, M code, and VHDL. Figure 10 illustrates the flow conception of the System Generator tool which allows for a generation and cosimulation process from a hardware architecture design [33].…”

Section: International Journal Of Photoenergymentioning

confidence: 99%

Sizing Control and Hardware Implementation of a Hybrid Wind-Solar Power System, Based on an ANN Approach, for Pumping Water

Zarrad

Hajjaji

Aymen

et al. 2019

International Journal of Photoenergy

Self Cite

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In our day, solar energy and wind energy are becoming more and more used as renewable sources by various countries for different uses such as in an isolated home. These energies admit a unique limitation related to the characteristic of energy instability. For this, the objective of this manuscript is to command and synchronize the power flow of a hybrid system using two sources of energy (solar and wind). The first contribution of our work is the utilization of an artificial neural network controller to command, at fixed atmospheric conditions, the maximum power point. The second contribution is the optimization of the system respecting real-time constraints to increase a generating system performance. As a matter of fact, the proposed system and the controller are modeled using MATLAB/Simulink and a Xilinx System Generator is utilized for hardware implementation. The simulation results, compared with other works in the literature, present high performance, efficiency, and precision. The suggested system and its control strategy give the opportunity of optimizing the hybrid power system performance, which is utilized in rural pumping or other smart house applications.

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“…Published by Universitas Muhammadiyah Malang This is an open access article under the CC BY SA license. (https://creativecommons.org/licenses/by-sa/4.0/) 70 efficient using numerical solution of evolution equations, while [14] Haar Wavelet has advantages in hardware area and consumption decrease and mainly speed increas.…”

Section: Introductionmentioning

confidence: 99%

A Non-Blind Robust and Impercept Watermarking Using Discrete Cosine Transform and Discrete Wavelet Transform

Rachmawanti

Santoso

2021

KINETIK

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Non-blind watermarking is a form of watermarking with a watermark image validation process that requires a host image. The use of the transform domain is more robust and imperceptible. The transform domain method is resistant to various forms of digital image attacks. In this study, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) were selected as watermark insertion algorithms. DCT is faster and more resistant to attacks, especially in image compression attacks, but has lower imperceptibility than DWT. DWT is also known to be resistant to noise attacks, filtering, blurring, cropping, and has high imperceptibility depending on the sub-band selection but is not resistant to image compression attacks. Based on each algorithm's advantages and disadvantages, there is an opportunity to combine it to analyze and compare the insertion results with DCT and DWT itself. To test the results of imperceptibility, we used the Peak Signal to Noise Ratio (PSNR), while to test the robustness, we used Cross-Correlation (CC) and Bit Error Ratio (BER). Without attacks, the PSNR on the proposed method can reach 71 dB. The CC value without attack can reach a perfect value of 1 and BER = 0. The highest attack test result is CC = 1 on the filtering attack. From the various tests we have conducted, it has been proven that the DCT-DWT is more imperceptive and robust than previous studies

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FPGA Implementation of Digital Images Watermarking System Based on Discrete Haar Wavelet Transform

Cited by 34 publications

References 19 publications

A Digital Watermarking Encryption Technique Based on FPGA Cloud Accelerator

A Digital Watermarking Encryption Technique Based on FPGA Cloud Accelerator

Sizing Control and Hardware Implementation of a Hybrid Wind-Solar Power System, Based on an ANN Approach, for Pumping Water

A Non-Blind Robust and Impercept Watermarking Using Discrete Cosine Transform and Discrete Wavelet Transform

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