원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.10 No.9
2015.09
pp.147-154
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Poor weather condition such as fog, rain or haze causes problem in getting information from image. As computer vision system extracts features from the scene, it is important that reliable information could be obtained by removing haze. This paper proposes a fast fog removal method which is implementable in hardware for single image. Using pixel-based median channel of haze image, we can estimate atmospheric light. As a result, high-quality image can be recovered with lower computation complexity compared to patch-based dark channel prior. FPGA implementation shows that real-time dehazing is achievable with median channel prior.
목차
Abstract
1. Introduction
2. Haze Restoration Algorithm
2.1. Dehazing Based on Patch-Based Dark Channel Prior
2.2. Proposed Dehazing Based on Pixel-Based Median Channel Prior
3. Comparison Experiments
4. Design of Hardware
6. Conclusion
Acknowledgements
References
1. Introduction
2. Haze Restoration Algorithm
2.1. Dehazing Based on Patch-Based Dark Channel Prior
2.2. Proposed Dehazing Based on Pixel-Based Median Channel Prior
3. Comparison Experiments
4. Design of Hardware
6. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보
