传统的神经网络非均匀性校正算法对噪声具有较好的自适应性，但当空间低频噪声较大时，校正效果明显下降。
The traditional neural network correction has a good adaptivity to the noise. But with a stronger low frequency space noise, the correction effect is very poor.
在分析红外焦平面阵列非均匀性校正现行算法的基础上，提出了一种具有自适应性能的新算法。
Based on the analysis of the present algorithms of IRFPA nonuniformity correction (NUC), a new adaptive technique was discussed, to which the wavelet filter theory was applied.
首先分析了传统的非均匀性校正方法的缺点，指出自适应校正红外焦平面器件非均匀性的必要性。
In this paper, the disadvantages of the traditional nonuniformity correction methods for infrared focal plane arrays are analyzed firstly.
介绍了一种自适应红外图像非均匀性校正方法及其FPGA实现。
An adaptive method for correcting the nonuniformity of infrared images and its implementation on FPGA are presented.
介绍了一种自适应红外图像非均匀性校正方法及其FPGA实现。
An adaptive method for correcting the nonuniformity of infrared images and its implementation on FPGA are presented.
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