원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.7 No.4
2014.07
pp.353-364
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보