Fusion of the low-light-level visible and infrared images for night-vision context enhancement

For better night-vision applications using the low-light-level visible and infrared imaging, a fusion framework for night-vision context enhancement（FNCE） method is proposed. An adaptive brightness stretching method is first proposed for enhancing the visible image. Then, a hybrid multi-scale decomposition with edge-preserving filtering is proposed to decompose the source images. Finally, the fused result is obtained via a combination of the decomposed images in three different rules. Experimental results demonstrate that the FNCE method has better performance on the details（edges）, the contrast, the sharpness, and the human visual perception. Therefore,better results for the night-vision context enhancement can be achieved.

微通道板防离子反馈膜性能的研究

介绍了微通道板（ＭＣＰ）防离子反馈膜在三代微光象增强器中的作用，测量了防离子反馈膜的电子透过特性和离子透过特性，比较了用带膜ＭＣＰ做成的二代薄片管和不带膜的ＭＣＰ做成的二代薄片管的脉冲幅度分布、寿命和阴极灵敏度衰减。实验发现，非晶态Ａｌ２Ｏ３防离子反馈膜能有效地透过电子，阻止反馈离子，降低闪烁噪声，延缓阴极灵敏度衰减，延长象管工作寿命。

微光像增强器积分灵敏度单次测量误差分析

为了提高批量微光像增强器性能参数的测试速度,通常采信单次测试数据作为测量结果。在该情况下,参数单次测量结果的误差将直接决定性能评价结果的准确性。以微光像增强器积分灵敏度的参数测试为例开展单次测量误差评定,通过对微光像增强器积分灵敏度的测试方法、测量装置、数据计算等误差情况进行综合分析,计算得到的积分灵敏度单次测量最大误差为6.7%;在该基础上,提出了采用更高加工精度光阑、对入射光测量位置进行修正以及阶段性辅助参量重复性测量校对的积分灵敏度单次测量误差控制方案。研究结果对微光像增强器批量化快速测试具有重要的指导意义和参考价值。