Hardware implementation of a strong pseudorandom number generator based block‐cipher system for color image encryption and decryption

Gafsi, Mohamed; Amdouni, Rim; Hajjaji, Mohamed Ali; Mtibaa, Abdellatif; Bourennane, El‐Bey

doi:10.1002/cta.3415

Cited by 5 publications

(2 citation statements)

References 36 publications

(86 reference statements)

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“…Color imagery refers to the subjective emotions associated with specific colors, such as emotions, images, and symbols [9][10]. Color emotion refers to the influence of mood, atmosphere and personality conveyed in a product or environment [11][12].…”

Section: Color Imagementioning

confidence: 99%

Machine Vision Prediction Model for Product Color Design by Kansei Engineering

Han

2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

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Color is a visual element of people, it can bring people different levels, different feelings, and can make people have associations and emotional resonance. Under the background of Kansei engineering, product color design is an important research field. This paper aims to discuss the predictive model of Kansei engineering in product color design, in order to improve the quality of products and meet the needs of consumers. Through empirical research and user survey, this paper verifies the accuracy and effectiveness of product color perceptual image generated by machine vision prediction model for the elderly products. The survey and experimental results show that support vector machines perform best, with an accuracy of 91% and a recall rate 4% higher than BP neural networks.

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Section: Color Imagementioning

confidence: 99%

Machine Vision Prediction Model for Product Color Design by Kansei Engineering

Han

2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

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“…The encryption of images is implemented in hardware based on chaotic system. [5][6][7] In Ref. 8, the AES algorithm based on chaos technology is used to encrypt medical images.…”

Section: Introductionmentioning

confidence: 99%

Video encryption algorithm based on the fractional order chaos system

Xie,

Zhang

2023

J. Electron. Imag.

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With the development of technology and the diversification of information acquisition methods, video has become an important component of our daily life and work, and the security of video information is of increasing concern. In this work, a general video encryption algorithm is proposed and implemented. The algorithm extracts a video file frame by frame to obtain video frames and encrypts the video by encrypting its frames. The bilinear interpolation method is used to reduce the size of the video frames, and then one of the four fractional order chaotic systems and one of three scrambling methods are selected to scramble and diffuse the video frames. This work conducted in-depth feasibility testing on the encryption and decryption process, analyzed the resistance to statistical attacks, and completed tests on the histogram, correlation of adjacent pixels, and information entropy, as well as sensitivity analysis and noise resistance analysis. Moreover, the ability of encryption and restoration were compared with other methods. In addition, the performance comparison of three scrambling methods was also conducted. The encryption effect of these methods is not very different, but the restoration ability of the pixel scrambling is not as good as the other two methods. The experimental results show that this algorithm has better security and encryption efficiency.

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A triangular—trapezoidal dual-channel shaping algorithm for resistive anode readout systems and its FPGA implementation

Zhang,

Song,

Zheng

et al. 2024

Review of Scientific Instruments

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This paper introduces a novel digital triangular–trapezoidal double-channel shaping algorithm to enhance the counting rate of resistive anode detectors. The algorithm is based on the trapezoidal shaping algorithm and improves it. At the extreme counting rate, the trapezoidal shaping algorithm cannot alleviate the pulse pileup, so the counting rate cannot meet the requirements of a high performance detector. The triangular–trapezoidal double-channel shaping algorithm is introduced in the resistance anode detector, which can replace the trapezoidal shaping filtering algorithm to process the output signal of the resistance anode detector and obtain the single photon position information. This improvement improves the counting rate of the resistor anode detector and reduces the resolution degradation caused by pulse pileup. The algorithm is simulated by System Generator software and implemented on FPGA (field programmable gate array). The triangular–trapezoidal double-channel shaping algorithm presented in this paper plays an important role in reducing electronic noise and pulse pileup. The algorithm is subjected to simulation testing, and it can recognize signals with a minimum pulse interval of 1 µs and counting rate up to 1000 kcps.

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Hardware implementation of a strong pseudorandom number generator based block‐cipher system for color image encryption and decryption

Cited by 5 publications

References 36 publications

Machine Vision Prediction Model for Product Color Design by Kansei Engineering

Machine Vision Prediction Model for Product Color Design by Kansei Engineering

Video encryption algorithm based on the fractional order chaos system

A triangular—trapezoidal dual-channel shaping algorithm for resistive anode readout systems and its FPGA implementation

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