Improved adaptive FPGA dark channel prior dehazing algorithm for edge applications in agricultural scenarios
In agricultural application scenarios, hazy environments often cause image blur, affecting the accuracy and efficiency of tasks such as crop monitoring, pest/disease identification, and drone inspection. This study presents an FPGA-accelerated edge computing system for an adaptive real-time dehazing...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525005167 |
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