Based on the spectrum characteristics of low light level (LLL) whole-wave image and LLL short-wave image and the analysis of the one-dimension at gray-scale histograms and the two-dimensional gray-scale spatial correlation charts of LLL whole-wave image and LLL short-wave image, the new method of fusing dual-spectrum LLL images based on gray-scale spatial correlatio.

Based on the spectrum characteristics of low light level (LLL) whole-wave image and LLL short-wave image and the analysis of the one-dimension at gray-scale histograms and the two-dimensional gray-scale spatial correlation charts of LLL whole-wave image and LLL short-wave image, the new method of fusing dual-spectrum LLL images based on gray-scale spatial correlatio.

The degradation of low-light-level image mainly depends on sensitivity,non-linearity and noise of detectors.

As the noise of low-light-level image can be removed efficiently and low-light-level image quality can be improved by low-light-level video real-time image processor, which has quality of super speed and real time, observation distance of low-light-level video observation system becomes far.

For the characteristics of infrared images for the target image focused on the distribution of gray,low-light-level grayscale image is relatively uniform distribution,a image fusion method is proposed in this paper,that is extracting infrared thermal targets firstly,and then fused to low-light-level image as the background.

Low contrast is one of the main characteristics of the low light level image, and contrast stretching is the important technical method to enhance the image.

A novel image enhancement technique suitable for low light level image, dualistic sub image enhancement based on two dimensional histogram analysis and histogram equalization, is presented.