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作 者:陈羽 段海龙 陈永鹏 周晓琳 张汉辉 CHEN Yu;DUAN Hailong;CHEN Yongpeng;ZHOU Xiaolin;ZHANG Hanhui(Henan Pingyuan Optics Electronics Co.,Ltd.,Jiaozuo 454000,China)
出 处:《新技术新工艺》2023年第8期31-34,共4页New Technology & New Process
摘 要:针对非制冷红外焦平面探测器在成像过程中存在非均匀性、存在一定数量的盲元以及红外图像质量不高等问题,设计一种非制冷红外焦平面探测器图像清晰化的算法。首先采用两点校正法对焦平面阵列各像元的增益核偏移量进行校正,采用邻域替代法,利用帧内空间相关性对盲元进行补偿;然后对图像进行3×3的滑窗滤波,将滤波后的图像与经过拉普拉斯算子锐化后的图像进行叠加,使其图像细节得到增强;最后通过直方图均衡化调整图像的灰度。仿真结果证明,所设计的方法能够有效提高红外焦平面探测器的清晰度,增强图像的细节。Aimed at the problems of non-uniformity in the imaging process of uncooled infrared focal plane detectors,and a certain number of blind elements and the infrared image quality being not high,it was designed that an image sharpeness algorithm of uncooled infrared focal plane detector.Firstly,the gain core offset of each pixel of focal plane array was corrected by two-point correction,and the blind element was compensated by intra-frame spatial correlation by using neighborhood substitution method.Then,the image was smoothed through 3×3 sliding windows,and the filtered image was superimposed after Laplacian operator sharpen to enhance image details.Finally,the gray level of the image was adjusted by histogram equalization.The simulation results showed that the proposed method could effectively improve the resolution of infrared focal plane detectors and enhance the details of the image.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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