Novel Real-Time Image Transmission (RTIT) Algorithm for Remote Electronic Engineering Labs

Real-time image processing methods are well applied in engineering practice. This study presents a breakthrough real-time image transmission algorithm designed specifically for remote electronic engineering laboratories. By taking into account the latest communication technologies, the algorithm overcomes the limitations of conventional engineering experiments and facilitates remote experimentation. It is composed of a novel image compression algorithm, a real-time image transmission model, and remote communication ideas. The tests result reflect the effectiveness of the algorithm with the results showing that the average success rate of 99.05% in 13 tests. It significantly performs better than the traditional methods with an average of 93.03%. This proposed methodology suggests the better performance in the real-time image transmission studies.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icdici62993.2024.10810818
Primary Topic
Experimental Learning in Engineering
Type
article
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article

Novel Real-Time Image Transmission (RTIT) Algorithm for Remote Electronic Engineering Labs

Huang Xue-jun, Xiaoyu He, Z. Y. He
Experimental Learning in Engineering
article

Novel Real-Time Image Transmission (RTIT) Algorithm for Remote Electronic Engineering Labs

Huang Xue-jun, Xiaoyu He, Z. Y. He
article en

Abstract

Real-time image processing methods are well applied in engineering practice. This study presents a breakthrough real-time image transmission algorithm designed specifically for remote electronic engineering laboratories. By taking into account the latest communication technologies, the algorithm overcomes the limitations of conventional engineering experiments and facilitates remote experimentation. It is composed of a novel image compression algorithm, a real-time image transmission model, and remote communication ideas. The tests result reflect the effectiveness of the algorithm with the results showing that the average success rate of 99.05% in 13 tests. It significantly performs better than the traditional methods with an average of 93.03%. This proposed methodology suggests the better performance in the real-time image transmission studies.

Xiamen University of Technology (CN)
Openalex Percentile: Top 63%
Experimental Learning in Engineering
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