摘要
为克服失效元造成的图像固定噪声,改善红外焦平面阵列的成像质量,提出了一种基于场景的红外焦平面阵列图像传感器的失效元动态检测与校正算法。通过分析图像传感器正常像元和失效元的表现特征,并根据红外焦平面测试验收国家标准的规定,确定了区别正常像元和失效元的灰度阈值电平,并用双向线性外推的方法判定具体的失效元在一帧图像中的位置,根据失效元的判定算子和新型校正算法实现了对检测出失效元的实时校正。实验证明该算法简单可靠,易于硬件实现。
In order to improve image quality and remove fixed noises, a scene-based dynamic detection and compensation algorithm of defective pixels for IRFPA is proposed in this paper. Statistics and analysis should be done for normal pixels and defective pixels and based on GB 《The technical norms for measurement and test of characteristic parameters of infrared focal plane arrays》to find the maximum difference value in order to determine the threshold value. The location of defective pixels will be obtained using a 2D linear extrapolation algorithm. Then, using the detection algorithm of the defective pixels and a novel compensation algorithm, the gray of the defective pixels will be compensated, and real-time processing will be completed. Experiments on infrared imager demonstrate that the algorithm can be carded out simply and be easily realized by hardware.
出处
《红外与激光工程》
EI
CSCD
北大核心
2006年第2期192-196,共5页
Infrared and Laser Engineering
基金
国防预研基金项目(40405050303)
