本文選題：抗暈光　切入點(diǎn)：圖像融合　出處：《紅外與激光工程》2017年08期

【摘要】：針對夜間汽車暈光現(xiàn)象引起的交通安全問題,從規(guī)避碰撞物的角度出發(fā),設(shè)計(jì)了一種紅外與可見光圖像融合的視頻抗暈光系統(tǒng)。系統(tǒng)通過對可見光圖像和紅外圖像做MSR圖像增強(qiáng),解決了夜間可見光圖像亮度低,暗處信息不易獲取的問題,并提高了紅外圖像對比度,提升了融合圖像的清晰度;通過YUV與小波變換結(jié)合的方式對增強(qiáng)后的可見光圖像和紅外圖像進(jìn)行融合,消除了暈光現(xiàn)象。實(shí)驗(yàn)結(jié)果的主客觀分析表明:該融合算法比YUV與小波融合算法在熵、均值、平均梯度、標(biāo)準(zhǔn)差上分別提高了1.6%、13.5%、25.3%、0.6%,該系統(tǒng)不僅能有效消除暈光,還對融合后圖像的亮度和暗處細(xì)節(jié)信息有較大提升,提高了夜間駕駛安全性。
[Abstract]:Aiming at the traffic safety problem caused by the phenomenon of vehicle halo at night, a video anti-halo system based on the fusion of infrared and visible images is designed from the point of view of avoiding collision objects.By enhancing the visible and infrared images with MSR, the system solves the problems of low brightness of the night visible images and difficult to obtain the information in the dark, and improves the contrast of infrared images and the sharpness of the fused images.Through the combination of YUV and wavelet transform, the enhanced visible and infrared images are fused and the halo phenomenon is eliminated.The subjective and objective analysis of the experimental results shows that the proposed fusion algorithm can improve the entropy, mean value, average gradient and standard deviation of the YUV and wavelet fusion algorithm by 1.6 and 13.5and 25.30.The system can not only effectively eliminate the halo, but also can eliminate the halo effectively.It also improves the brightness and dark details of the fused image and improves the safety of night driving.
【作者單位】： 西安工業(yè)大學(xué)電子信息工程學(xué)院;
【基金】：陜西省教育廳科研計(jì)劃(11JK0989)
【分類號】：TP391.41;U463.6
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本文編號：1717136