• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (9): 1750-1755.

• 论文 • Previous Articles     Next Articles

A waveletgenetic enhancement algorithm
for vehicular infrared night vision images  

YU Yang,KANG Xuexue   

  1. (School of Information Science and Engineering,Shenyang Ligong University,Shenyang 110159,China)
  • Received:2014-07-03 Revised:2014-08-14 Online:2015-09-25 Published:2015-09-25

Abstract:

Due to the fact that the traditional infrared image enhancement methods have imperfect visual effect, we propose an image enhancement method for vehicular infrared night vision images. We establish a waveletgenetic grayscale image enhancement algorithm on the basis of the noncontact thermal image generation principle of the infrared nightvision goggles. Compared with the traditional histogram equalization method and the multiscale Retinex algorithm, the proposed method can improve the image brightness uniformity, avoid excessive enhancement and effectively suppress noise. Experimental results show that the waveletgenetic enhancement algorithm can achieve good performance in enhancing vehicular infrared night vision images.

Key words: infrared night vision image;wavelet-genetic;genetic algorithm;image enhancement