J4 ›› 2015, Vol. 37 ›› Issue (9): 1750-1755.
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YU Yang,KANG Xuexue
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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 waveletgenetic grayscale image enhancement algorithm on the basis of the noncontact thermal image generation principle of the infrared nightvision goggles. Compared with the traditional histogram equalization method and the multiscale Retinex algorithm, the proposed method can improve the image brightness uniformity, avoid excessive enhancement and effectively suppress noise. Experimental results show that the waveletgenetic 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
YU Yang,KANG Xuexue. A waveletgenetic enhancement algorithm for vehicular infrared night vision images [J]. J4, 2015, 37(9): 1750-1755.
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http://joces.nudt.edu.cn/EN/Y2015/V37/I9/1750