基于补偿算法的红外探测器非均匀性校正

摘要

Due to the limitations of the process conditions, the non-uniformity of each pixel in an infrared focal plane detector significantly affects the quality of the infrared image. The problem of imaging effect, caused by the non-uniformity of the infrared focal plane, has become a bottleneck in the application of infrared imaging technology. Using FPGA as the hardware platform for data processing, the blind algorithm and real-time compensation processing of infrared images are realized by using a domain-averaging algorithm in combination with weighted filtering algorithm and temperature compensation algorithm. The experimental results show that this algorithm can deal with the large amount of data generated during the image compensation process in real time and improve the quality of the infrared image significantly. All the data processing is completed by the FPGA, which results in a minimum system with reduced cost.%由于工艺条件的限制,红外焦平面探测器各像元的非均匀性严重影响了红外图像质量,由红外焦平面非均匀性所导致的成像效果变差的问题已成为制约红外成像技术应用的瓶颈.基于FPGA为数据处理核心的硬件平台,采用领域平均算法结合加权滤波算法以及温度补偿算法依次实现了对红外图像的盲元校正与实时补偿处理.实验结果表明此算法能够实时处理图像补偿过程中产生的大量数据,显著地提高了红外图像质量,并且仅用FPGA完成所有数据处理,构成了精简的最小系统,有效地降低了成本.