首页|不同天气条件下光学图像清晰度实时增强研究

不同天气条件下光学图像清晰度实时增强研究

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针对光学图像采集过程中,由于天气条件所导致的图像对比度下降图像失真等问题,研究不同天气条件下光学图像清晰度实时增强方法.依照大气光学原理,构建不同天气条件下的光学图像退化模型;采用四叉树分解法,将光学图像划分为四个象限,依照不同象限的平均强度与标准差计算象限得分,在得分最高的象限中继续划分,取符合终止条件下的最小象限中得分最高象限的强度均值为大气光值;在此基础上,采用暗通道法,通过暗像素值确定光学图像的透射率;基于透射率与大气光值反推光学图像退化模型,获取不同天气条件下光学图像清晰度实时增强结果.实验结果显示该方法可以以较快的速度提升光学图像的对比度与相关系数,实现光学图像清晰度增强,提升光学图像识别率.
Real time enhancement of optical image clarity under different weather conditions
In response to the problem of image contrast decrease and image distortion caused by weather conditions during optical image acquisition,a real-time enhancement method for optical image clarity under different weather conditions is studied.Construct op-tical image degradation models under different weather conditions based on the principles of atmospheric optics;Using the quadtree de-composition method,the optical image is divided into four quadrants.Quadrant scores are calculated based on the average intensity and standard deviation of different quadrants.The division continues in the highest scoring quadrant,and the average intensity of the highest scoring quadrant in the minimum quadrant that meets the termination conditions is taken as the atmospheric light value;on this basis,the dark channel method is used to determine the transmittance of the optical image through the values of dark pixels;Based on transmit-tance and atmospheric light values,an optical image degradation model is derived to obtain real-time enhancement results of optical im-age clarity under different weather conditions.The experimental results show that this method can quickly improve the contrast and corre-lation coefficient of optical images,enhance the clarity of optical images,and improve the recognition rate of optical images.

weather conditionsoptical imagesenhanced claritydegradation modelatmospheric light valuetransmittance

张海庆

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杨凌职业技术学院信息工程学院,陕西 杨凌 712100

天气条件 光学图像 清晰度增强 退化模型 大气光值 透射率

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(11)