微光图像和紫外图像分析与融合方法研究

在分析了微光图像和紫外图像的特征以及双通道彩色夜视系统信息量的基础上，提出了微光图像和紫外图像双通道彩色夜视理论。在设计并试验了灰度调制法、谱域融合法、特有成分融合法的基础上，提出了微光图像和紫外图像假彩色融合的改进算法以及新算法，包括微光图像和紫外图像分段灰度调制法、图像差别提取法、基于物体对夜天光反射特性的成分分离法，以及体现图像传感器光谱响应和视觉自然感受的色空间映射法，取得了较好的效果。

Analysis and fusion methods on low light level image and ultra-violet image

On the basis of analyzing the characteristics of low light level (LLL) image and ultra-violet image and the information amount of dual channel color night vision system, the LLL and ultra-violet color night vision technique is put forward. The methods of gray-scale modulation, frequency field fusion, special component fusion are tried, and the improved LLL and ultra-violet image pseudo color fusion algorithms are presented. These new algorithms include subsection gray-scale modulation, image difference picking-up, component separation based on the reflected characteristics to night skylight reflection characteristics of objects and color space mapping which embodies the spectrum response of image sensor and nature vision. Some good results are obtained.