1. An Improved Intelligent Transportation Algorithm Based on Image Processing

2. Abstract
In this paper, an improved defogging algorithm for intelligent transportation system based on image processing is proposed. According to the existing intelligent transportation system, it analyzes the principle of total variation, and introduces the principle of the total variation defogging algorithm in detail. The experimental results show that the improved total variation image defogging algorithm has lower complexity in execution, faster recognition speed and better visual defogging effect. Combining the intelligent transportation system with high-effecting image processing technology enables the transportation system to achieve better real-time performance and higher efficiency.

3. Introduction
Literature review
Methodology
Results
Conclusion

4. Introduction
In traffic jam detection , license plate recognition and urban traffic monitoring system, a large number of video image processing technology has been applied.
The fog and haze reduces image identification and obscures urban traffic monitoring images 4

5. Literature review first
Calculate the ideal image gradient field of fog sky image approximately .
second
Construct an energy functional and solve the minimum of the energy functional. 5

6. Methodology Output foggy image CLAHE processing7
CLAHE processing 6
Using Variation Method to Solve Partial Differential Equations 5
Constructing an Energy Functional 4
Using Dark Channel Theory to Obtain Image Atmospheric Intensity 3
Calculating image scene depth of field 2
Input foggy image 1

7. Results -Subjective comparison7

8. This article algorithm
Results -Objective comparison
Improved algorithm time comparison chart (unit of time: s)
Algorithm name
Literature Algorithm
This article algorithm
The first group
8.4000
5.3138
The second group
6.6234 8

9. Conclusion
Accoring to the existing intelligent transportation system, this paper analyzes the principle of total variation, and introduces the principle of the total variation defogging algorithm in detail.
Based on the total variation image defogging algorithm, an improved algorithm for traffic images under fog and hazy weather is proposed and the image has a higher definition.

10. THANK YOU Presenter: Zhenzi Guo
Affiliation: Xi’an University of Science and Technology, P,R China