场景非均匀校正和基于本底信息无快门校正等红外图像自适应非均匀性无快门校正算法不需要中断探测过程, 克服了定标类校正算法需要周期性定标的不足, 目前日趋受到重视。相对于场景无快门校正算法, 基于本底信息的自适应无快门校正算法具有复杂度低、易于实现的特点, 正逐步从理论研究走向具体工程应用, 通过硬件系统实现该校正算法具有重要的应用价值。根据自适应无快门校正算法理论特点, 采用基于FPGA构建SOPC系统的方法进行了硬件实现, 主要由校正参数计算、本底采集、校正模型等模块组成。校正参数计算部分根据自适应拉格朗日插值计算和更新校正参数, 本底采集模块用于采集均匀本底信息, 为图像校正提供一系列本底信息, 校正模块完成红外图像的实时非均匀性校正。实验结果表明: 实现的非均匀性无快门校正系统具有占用硬件资源少、延迟短和图像效果好的优点, 能够广泛应用在红外成像系统中, 具有较强的研究价值和现实意义。

The non-uniformity correction algorithm of infrared image using Lagrange interpolation algorithm to calculate the offset coefficient was proposed in this paper. It overcame the shortcoming of periodic calibration for the calibration algorithm and it was less complex than other algorithms based on the scene. According to the characteristics of large amount calculation, the method of constructing SOPC system based on FPGA was used to realize the algorithm, including parameter calculation, background acquisition and calibration model. Parameters were calculated and updated according to a certain strategy. Background information module was used for collecting the information of the uniform background. Correction module was used to complete the real-time non-uniformity correction. The experimental results show that this system has the advantages of less resources, shorter delay and better imaging effect.