Efficient architecture for direct 8 × 8 2D DCT computations with earlier zigzag ordering

Hatim, Anas; Belkouch, Saïd; Benslimane, Abderrahim; Hassani, Moha M’Rabet; Sadiki, Tayeb

doi:10.1007/s11042-015-2562-0

Cited by 7 publications

(2 citation statements)

References 27 publications

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“…This blur can affect the reliability of the results, which does not respect the constraints of an autonomous embedded system [33]. Moreover, a very critical parameter influencing the data collection is memory saturation [34].…”

Section: Background and Related Workmentioning

confidence: 99%

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Improving Sustainable Vegetation Indices Processing on Low-Cost Architectures

et al. 2022

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The development of embedded systems in sustainable precision agriculture has provided an important benefit in terms of processing time and accuracy of results, which has influenced the revolution in this field of research. This paper presents a study on vegetation monitoring algorithms based on Normalized Green-Red Difference Index (NGRDI) and Visible Atmospherically Resistant Index (VARI) in agricultural areas using embedded systems. These algorithms include processing and pre-processing to increase the accuracy of sustainability monitoring. The proposed algorithm was evaluated on a real database in the Souss Massa region in Morocco. The collection of data was based on unmanned aerial vehicles images hand data using four different agricultural products. The results in terms of processing time have been implemented on several architectures: Desktop, Odroid XU4, Jetson Nano, and Raspberry. However, this paper introduces a thorough study of the Hardware/Software Co-Design approach to choose the most suitable system for our proposed algorithm that responds to the different temporal and architectural constraints. The evaluation proved that we could process 311 frames/s in the case of low resolution, which gives real-time processing for agricultural field monitoring applications. The evaluation of the proposed algorithm on several architectures has shown that the low-cost XU4 card gives the best results in terms of processing time, power consumption, and computation flexibility.

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Section: Background and Related Workmentioning

confidence: 99%

“…We can find several techniques in the compression of images, but the most used approaches are based on Discrete Cosine Transform DCT. Equation ( 5) describes how we could calculate the discrete cosine transform [34].…”

Section: Image Compressionmentioning

confidence: 99%