Kim, Wong Yoke and Hum, Yan Chai and Tee, Yee Kai and Yap, Wun-She and Mokayed, Haman and Lai, Khin Wee (2024) A modified single image dehazing method for autonomous driving vision system. Multimedia Tools and Applications, 83 (9). pp. 25867-25899. ISSN 1380-7501, DOI https://doi.org/10.1007/s11042-023-16547-8.
Full text not available from this repository.Abstract
Managing unforeseen situations, particularly in low-visibility environments caused by weather degradation, continues to be a significant challenge for the autonomous driving vision system. This paper aims to enhance the visibility of degraded images captured by the system's sensors by removing haze. To achieve this goal, we propose an algorithm that predicts transmission from a regression model using random forest and atmospheric light using a quad-tree decomposition method. We evaluate the performance of the haze removal algorithm on three benchmark datasets (FRIDA2, D-HAZY, and RESIDE) using both quantitative and qualitative analyses. Our proposed method yields the lowest count of saturated pixels ( n-ary sumation ) in blind contrast enhancement assessment, with n-ary sumation = 0.0001. The implications of our approach are significant. By utilizing the RF-transmission estimation and quad-based atmospheric light prediction, the proposed haze removal algorithm demonstrates greater robustness in preventing unintended black or white color pixels in the dehazed image. This improvement can contribute to safer autonomous driving, particularly in low-visibility conditions, where the reliability of image processing systems is paramount.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Tunku Abdul Rahman [Grant No: IPSR/RMC/UTARRF/2022-C1/H02] |
| Uncontrolled Keywords: | Haze removal; Autonomous driving vision system; Random forest; Transmission estimation; Quad-tree decomposition atmospheric light prediction |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Faculty of Engineering > Biomedical Engineering Department |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 22 Aug 2024 04:30 |
| Last Modified: | 22 Aug 2024 04:30 |
| URI: | http://eprints.um.edu.my/id/eprint/46020 |
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