摘要
提出了一种改进的基于场景的非均匀性校正方法,该方法通过使用红外相机获得输入场景的均匀图像来进行偏移量的校正。其中典型非均匀性校正算法是基于黑体的两点校正法。然而,随着工作时间的增加,探测器本身温度会升高,会产生新的盲元和固定的图案噪声,从而影响图像质量。针对此问题,提出改进的非均匀性校正方法,该方法通过散焦的图像输入法可快速的生成均匀图像,并通过噪声分离的方法将带有非均匀性噪声的部分进行剔除,最终获得均匀图像,结果显示经该方法处理后极大的抑制了固定的图案噪声,使得图像的非均匀性得到极大的改善。
In this paper,an improved scene-based non-uniformity correction method is proposed. The offset is corrected by obtaining a uniform image of the import scene using an infrared camera. The typical non-uniformity correction algorithm is a two-point correction method based on the black body. However,as the working time increases,the temperature of the detector itself will increase;and new blind elements and fixed pattern noise will be generated,which will affect the image quality. Aiming at this problem,an improved scene-based non-uniformity correction method is proposed. This method can quickly generate a uniform image through the defocused image input method;and the method of noise separation is used to perform the part with non-uniform noise Elimination. Finally,a uniform image is obtain. The results show that the fixed pattern noise is greatly suppressed after processing by this method;and the non-uniformity of the image is greatly improved.
作者
赵振男
宋鸿飞
任宏凯
ZHAO Zhen-nan;SONG Hong-fei;REN Hong-kai(School of Optoelectronic Engineering,Changchun University of Science and Technology,Changchun 130022)
出处
《长春理工大学学报（自然科学版）》
2020年第2期53-57,共5页
Journal of Changchun University of Science and Technology(Natural Science Edition)
基金
吉林省科技厅发展计划项目(20180201090GX)。
关键词
非均匀性校正
红外探测器
偏移量校正
基于场景
non-uniformity correction
infrared detector
offset correction
scene base
