Improved adaptive FPGA dark channel prior dehazing algorithm for edge applications in agricultural scenarios

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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Bibliographic Details
Main Authors: Qunpeng Gao, Baiquan Qian, Fengqi Yu, Liye Chen, Peng Gao, Jiatao Wu, Zonghong Li, Weixing Wang, C.V. Jiaxing Xie
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Smart Agricultural Technology
Subjects:
Agricultural video dehazing
Dark channel prior algorithm
FPGA hardware acceleration
Adaptive algorithm
Sky segmentation strategy
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525005167
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http://www.sciencedirect.com/science/article/pii/S2772375525005167

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