Earticle

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

키워드

저자

• Hyun-Jin Kang [ Kumoh National Institute of Technology, Gumi, Korea ]
• Young-Hyung Kim [ Kumoh National Institute of Technology, Gumi, Korea ]
• Yong-Hwan Lee [ Kumoh National Institute of Technology, Gumi, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605