期刊文献+

CIS自动曝光算法研究与实现

Research and Implementation of CIS Automatic Exposure Algorithm
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摘要 为了解决高对比度光照条件下能够进行有效的曝光控制,提出一种采用曝光时间和自动增益补偿相结合的控制方式。该方法首先利用背光和正面强光照条件下图像的直方图特性判断出拍摄场景所处的光照条件。如果是普通光照条件,则计算整幅图片的平均亮度值,与相应的参考目标亮度值进行对比来调节曝光补偿量;如果拍摄条件为特殊光照(背光或者强正面光照)条件,则进行图像分区加权的方法来计算图像的平均亮度值并进行相应的曝光补偿调节。实验结果表明该算法在复杂光线环境下均能进行比较正确的自动曝光控制。 In order to solve the problem of the effective exposure control under high contrast illumination, a control method combining exposure time and automatic gain compensation is proposed. Firstly, the method uses the histogram characteristics of backlight and frontal light to determine the lighting conditions of the shooting scene. In the case of ordinary lighting conditions, the average brightness value of the whole picture is calculated and compared with the corresponding reference target brightness value to adjust the exposure compensation. If the shooting condition is special illumination (backlight or strong frontal illumination), the method of image partition weighting is used to calculate the average brightness value of the image and make corresponding exposure compensation adjustment. The experimental results show that the algorithm can control the auto-exposure correctly in complex light environment.
出处 《计算机科学与应用》 2019年第12期2411-2418,共8页 Computer Science and Application
基金 国家重点研发计划项目(2017YFF0 107905) 吉林省重大科技项目研发人才团队(KYC-JC-XM-2016-136) 吉林省经济结构调整引导资金项目(KYC-JC-XM-2015-103).
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