Parallel Image Processing Applications Using Raspberry Pi

Hosny, Khalid M.; Salah, Ahmad; Magdi, Amal

doi:10.1007/978-3-031-18735-3_6

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…The Raspberry Pi is a quad-core computer with parallel computing skills, which can be utilized to accelerate computations and processes [32]. Raspberry Pi can be useful in image processing areas because of its portability, parallelism, cheap cost, and minimal power usage [33]…”

Section: Advanced Encryption Standard Algorithmmentioning

confidence: 99%

Securing Transmitted Color Images Using Zero Watermarking and Advanced Encryption Standard on Raspberry Pi

Khafaga¹,

Alhammad²,

Magdi³

et al. 2023

Computer Systems Science and Engineering

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Image authentication techniques have recently received a lot of attention for protecting images against unauthorized access. Due to the wide use of the Internet nowadays, the need to ensure data integrity and authentication increases. Many techniques, such as watermarking and encryption, are used for securing images transmitted via the Internet. The majority of watermarking systems are PC-based, but they are not very portable. Hardwarebased watermarking methods need to be developed to accommodate real-time applications and provide portability. This paper presents hybrid data security techniques using a zero watermarking method to provide copyright protection for the transmitted color images using multi-channel orthogonal Legendre Fourier moments of fractional orders (MFrLFMs) and the advanced encryption standard (AES) algorithm on a low-cost Raspberry Pi. In order to increase embedding robustness, the watermark picture is scrambled using the Arnold method. Zero watermarking is implemented on the Raspberry Pi to produce a real-time ownership verification key. Before sending the ownership verification key and the original image to the monitoring station, we can encrypt the transmitted data with AES for additional security and hide any viewable information. The receiver next verifies the received image's integrity to confirm its authenticity and that it has not been tampered with. We assessed the suggested algorithm's resistance to many attacks. The suggested algorithm provides a reasonable degree of robustness while still being perceptible. The proposed method provides improved bit error rate (BER) and normalized correlation (NC) values compared to previous zero watermarking approaches. AES performance analysis is performed to demonstrate its effectiveness. Using a 256 × 256 image size, it takes only 2 s to apply the zero-watermark algorithm on the Raspberry Pi.

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Section: Advanced Encryption Standard Algorithmmentioning

confidence: 99%