Research Article
Highway Image Enhancement Method Based on Jade
@INPROCEEDINGS{10.1007/978-3-031-70507-6_7, author={Yang Li and Jing Liu and Shengxiang Wang and Jin Tian}, title={Highway Image Enhancement Method Based on Jade}, proceedings={IoT as a Service. 9th EAI International Conference, IoTaaS 2023, Nanjing, China, October 27-29, 2023, Proceedings}, proceedings_a={IOTAAS}, year={2024}, month={10}, keywords={blind signal separation (BSS) noise interference suppression joint approximate diagonalization of eigenmatrices (JADE)}, doi={10.1007/978-3-031-70507-6_7} }- Yang Li
Jing Liu
Shengxiang Wang
Jin Tian
Year: 2024
Highway Image Enhancement Method Based on Jade
IOTAAS
Springer
DOI: 10.1007/978-3-031-70507-6_7
Abstract
This article elaborates on an innovative high-speed highway image enhancement approach that relies on the Joint Approximate Diagonalization of Eigenmatrices (JADE) algorithm. This technique is highly efficient at segregating statistically independent source signals of the image, subsequently enhancing their visibility. By doing so, it significantly elevates the performance of highway monitoring systems and assures the safety of motorists. Experimental findings demonstrated that this methodology outperforms conventional image enhancement techniques in effectiveness and efficiency. Consequently, given its substantial application potential and developmental prospects, this technique is expected to witness extensive utilization in practical settings.
