1. School of Computer and Information, Hefei University of Technology, Hefei 230009, China; 2. School of Electrical and Information Engineering, Beifang University for Nationalities, Yinchuan 750021, China
Clc Number:
TN391.41
Fund Project:
Article
|
Figures
|
Metrics
|
Reference
|
Related
|
Cited by
|
Materials
|
Comments
Abstract:
The straw burning will cause serious atmospheric pollution. Aerial detection can achieve realtime monitoring of straw incineration conveniently. But the aerial monitoring image of straw burning point can be affected by suspended particles, which will cause the quality of the image degradation seriously. To solve this problem, a new image enhancement algorithm is proposed in this paper. Based on the traditional dark channel prior algorithm, the histogram of the image is statistically analyzed. The adaptive coefficients are used to modify the image enhancement algorithm. And the contrast enhancement is used to improve the quality of aerial image ultimately. The experimental results show that the algorithm has better image quality enhancement effect and higher practical value both in the fog environment daytime and low brightness environment nighttime.