Image Fusion Technology, which is an important part of the multi-sensor information fusion, was paid more and more attentions in recent years. Especially, fusion of infrared and low-level-light image., using the complementarity of their information outputs, it spreads the time cover and the space resolving power of the system.. This study work is primarily on the fusion algorithm and system design commenced.The first chapter explains the definition image fusion, the current situation and development prospects, as well as the need for image fusion.Chapter II of this issue in the infrared, dim-light image of the sources and characteristics of pixel image fusion for pretreatment of two key technologies - Image Denoising and image registration, on a new hybrid Filter, a new Window-based image-processing methods.The third chapter introduced several common image infusion algorithms, analysised and prepared themwith each other. We used VISUALC + + to simulation.Chapter IV introduced the system's hardware design process, which is based on TMS320DM642,and also introduced the hardware debugging and programming process in the CCS, and gives the effect of the integration of systems integration. |