摘要
图像传感器校正方法是提高图像传感器输出图像质量的关键手段。针对传统图像传感器校正方法只是单一的对图像传感器非均匀性或者非线性进行校正且通用性较差的问题,基于光子转换理论提出了一种图像传感器灰度响应非线性现象校正方法。针对一款科学级CCD与一款科学级CMOS图像传感器作为实验对象进行校正。实验结果表明,该方法可以同时对图像传感器的非均匀性及非线性现象进行校正,校正后图像传感器输出图像的对比度及均匀性得到显著提升。此外,该算法对CCD图像传感器及CMOS图像传感器均有校正效果,具有明显的通用性。
The method of correcting the image sensor is the key means to improve the output image of the image sensor.The traditional method of correcting the image sensor only aims to correct the non-uniformity or nonlinearity of the image sensor and has poor versatility.This thesis provides a grayscale response of nonlinearity phenomenon correcting a scientific CCD and a scientific CMOS image sensor.Experimental results show that this method could correct the non-uniformity and nonlinearity of the image sensor at the same time.The contrast and uniformity of the output image got a significant boost after correction.Besides,in this algorithm,there is a correction effect for both CCD image sensor and CMOS image sensor,which proves its versatility.
作者
袁鹏程
李俊山
孙富礼
王灿
YUAN Peng-cheng;LI Jun-shan;SUN Fu-li;WANG Can(Shanghai Radio Equipment Research Institute,Shanghai 201109)
出处
《制导与引信》
2019年第3期26-33,共8页
Guidance & Fuze
作者简介
袁鹏程(1994-),男,助理工程师,硕士;李俊山(1985-),男,高级工程师,硕士,主要从事硬件电路开发及数字信号处理技术研究。
