结合视觉特性的红外图像增强方法
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Infrared image enhancement method combining visual characteristics
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    摘要:

    为了增强红外图像的细节信息,改善图像视觉效果,将视觉特性与红外图像特征结合,提出了一种结合视觉特性的图像增强方法。首先,对图像运用Weber定律进行亮度处理,并在对数域角度,利用背景强度与光强梯度呈局部线性关系的特性,模拟视觉系统来分割图像。然后,分别对分割图像进行增强处理,过暗、过亮区域采用改进的自适应直方图均衡算法、Weber区域采用多尺度Retinex算法。最后,三区域构建图像,输出细节突出、亮度适中的红外图像。实验结果表明:本文算法增强了图像细节、缩短了运行时间、有效地消除“光晕”现象,改善了图像的视觉效果,具有较好的应用前景。

    Abstract:

    In order to enhance the detailed information of the infrared image,improve the visual effect of the image,and combine the visual characteristics with the infrared image feature,an image enhancement method combining visual characteristics is proposed.Firstly,the image is processed by Weber′s law,and the image is segmented by using the characteristics of the background intensity and the intensity gradient in the logarithmic domain.Then,the segmented image is enhanced separately,the improved adaptive histogram equalization algorithm is used in the over dark and over bright regions,and the multiscale Retinex algorithm is used in the Weber region.Finally,the three regions construct an image that outputs an infrared image without standing detail and moderate brightness.The experimental results show that the proposed algorithm enhances the image details,shortens the running time,effectively eliminates the "halo" phenomenon,improves the visual effect of the image,and has a good application prospect.

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于天河,赵树梅,兰朝凤.结合视觉特性的红外图像增强方法[J].激光与红外,2020,50(1):124~128
YU Tian-he, ZHAO Shu-mei, LAN Chao-feng. Infrared image enhancement method combining visual characteristics[J]. LASER & INFRARED,2020,50(1):124~128

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  • 在线发布日期: 2020-02-13
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