Earticle

초록

영어

In order to improve the traffic visibility in haze weathers, a Retinex algorithm based on the changing scale for haze removal with a depth map is proposed. It requires the haze image dark channel prior treatment to obtain the estimated depth map. Then it is according to the depth map to calculate Retinex scales for different parts of a hazy image. Finally a single scale Retinex transform is performed for each part of the image. Experimental results show that the algorithm can effectively improve the traffic visibility of hazy images without halo phenomena. Compared with the existing multi-scale Retinex algorithm MSR, it has the higher speed and better enhancement effect for the images that have greatly different scene depths.

목차

Abstract
 1. Introduction
 2. Relationship between Depth and Retinex Scale
 3. Dark Channel Prior and Retinex Algorithm
  3.1. Dark Channel Prior
  3.2. Retinex Algorithm Implementation
 4. A Changing Scale Retinex Algorithm Based on Depth Map
 5. Linear Stretching and Image Quality Determination
 6. Experimental Results
 7. Conclusions
 Acknowledgement
 References

키워드

저자

• Weixing Wang [ College of Physics and Information Engineering, Fuzhou University, Fuzhou, China ]
• Lian Xu [ College of Physics and Information Engineering, Fuzhou University, Fuzhou, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605