|Table of Contents|

Infrared traffic image’s enhancement algorithm combining dark channel prior and Gamma correction(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2016年06期
Page:
149-158
Research Field:
交通信息工程及控制
Publishing date:
2016-12-20

Info

Title:
Infrared traffic image’s enhancement algorithm combining dark channel prior and Gamma correction
Author(s):
GU Ming1;  ZHENG Lin-tao2;  LIU Zhong-hua2; 3
1. Department of Precision Instrument, Tsinghua University, Beijing 100084, China; 2. School of Information Engineering, Henan University of Science and Technology, Luoyang 471023,Henan, China; 3. Centre for Quantum Computation and Intelligent Systems, University ofTechnology Sydney, Sydney 2007, New South Wales, Australia
Keywords:
image processing;  infrared traffic image;  image defogging;  image enhancement;  dark channel prior;  Gamma correction
PACS:
U491.1
DOI:
-
Abstract:
In order to enhance the visual quality of infrared traffic image collected by the intelligent traffic monitoring equipment effectively, the image defogging method of visible light was introduced into traffic infrared image enhancement processing, and a new infrared traffic image’s enhancement algorithm combining dark channel prior and Gamma correction was proposed. First, the original degraded infrared traffic image was processed by dark channel prior algorithm to obtain initially enhanced image. Then, the brightness of initially enhanced image was adjusted by Gamma correction algorithm. The image enhancement effects of the new algorithm and other common infrared image enhancement algorithms were compared. Test result shows that the information entropies of two original infrared traffic images are respectively 4.71 and 5.07 and respectively increase to 6.45 and 5.92 after being processed by the new algorithm. The standard deviations of gray scale for two original infrared traffic images are respectively 6.90 and 19.14 and respectively increase to 31.17 and 32.35 after being processed by the new algorithm. The information entropy computational value of new algorithm is more than the values of other algorithms. So the enhancement effect of the proposed algorithm is better than the enhancement effects of other common infrared image enhancement algorithms, and it can significantly improve the visual effect of infrared traffic image and lay good foundation for following processing and analysis of image. 2 tabs, 27 figs, 30 refs.

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Last Update: 2016-12-20