﻿ 一种利用大气散射模型实现图像去雾的方法 A Method of Image Dehazing Using Atmospheric Scattering Model

Journal of Image and Signal Processing
Vol.06 No.02(2017), Article ID:20215,11 pages
10.12677/JISP.2017.62010

A Method of Image Dehazing Using Atmospheric Scattering Model

Lichun Duan, Chao Liu, Wei Zhong, Liqing Chen, Murong Jiang*

Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming Yunan

Received: Mar. 25th, 2017; accepted: Apr. 8th, 2017; published: Apr. 11th, 2017

ABSTRACT

In view of the problem that the image under foggy days is not clear, the atmospheric scattering model is used to process the image dehazing. First, the Curvelet transform extracts the image edge and calculates the vanishing point on the basis of the intersection of straight line edges. Then it calculates the depth of field value according to the vanishing point. The radiation coefficient of incident light in the foggy image is obtained, which means that the real color value of the image is obtained and the image dehazing is finished. When calculating the depth of field value, it respectively calculates the depth of field value of every foggy image’s pixel at the same time, which solves the partial area color distortion problem that is caused by using single depth of field, and makes the processed image look more natural. Finally, the validity of the method is verified by experiments.

Keywords:Image Dehazing, Atmospheric Scattering Model, Vanishing Point, Depth of Field

1. 引言

Figure 1. Foggy image

2. 大气散射模型

1975年，麦卡特尼(McCartney)等人根据Mie散，射理论，利用入射，光衰减模型和大气光成像模型来描述景物的成像机制，提出了大气散射模型 [9] ：

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Figure 2. The vanishing point of parallel perspective

Figure 3. The vanishing point of angled perspective

3. 基于灭点检测的去雾计算方法

Figure 4. The original image to be processed

Figure 5. Dyeing

Figure 6. The image edge by Sobel algorithmic detection

Figure 7. Thin edge

Figure 8. Curvelet transform

Figure 9. The bordered line of vanishing point

Figure 10. The intersection of bordered line

Figure 11. Vanishing point

Figure 12. The 24 optional points

Figure 13. The four fitting line

Table 1. The 24 intersections of line

Table 2. The six checked coordinates of vanishing point

Figure 14. The original image

Figure 15. The image of dehazing

Figure 16. The image of dehazing

Figure 17. The image of dehazing

Figure 18. The image of dehazing

Figure 19. The image of dehazing

4. 结论

A Method of Image Dehazing Using Atmospheric Scattering Model[J]. 图像与信号处理, 2017, 06(02): 78-88. http://dx.doi.org/10.12677/JISP.2017.62010

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