Theory analysis and experiment study on the amount of information in color night vision system

摘要

Single sensor night vision system has been developed for many years, but it still has many intrinsic limitations. For example, in single channel imaging system the image contrast will be too low to distinguish different targets. As a new technique, multi-sensor image fusion color night vision is developed. This system can make up single sensor's limitation and improve the system's performance. Depending on Shannon's formula of the information theory, this paper describes the formula of the fusion image's amount of information and proves that multi-sensor image fusion technique is good at increasing amount of information. Then according to the information theory, the LLLCCD and IRFPA image fusion system is developed. The system's block diagram is given and described in detail in this paper. And the improved fusion algorithm is adopted which is especially good at this fusion system. At last the impersonal judgment of fusion effect is employed to analysis this system's performance and the practical fusion image is given to show this system's good effect.