Since cameras are not able to capture a very wide range of brightness

the phenomenon of overexposure or underexposure is widespread

especially for high dynamic range (HDR) scenes. Image fusion technology aims to solve this problem. However

most of image fusion algorithms are too complex and time-consuming

Therefore

they are only suitable for processing static images. In order to solve this problem

many methods are used to optimize the original image fusion algorithm

which is introduced to deal with the exposure problems of video. We test the image fusion algorithms and make practical optimization for block-based image fusion to accelerate the original algorithm. Furthermore

the optimized algorithm is embedded in real-time monitoring system. Through combining the exposure control module with fusion technology

we design a video capture system with real-time image fusion. As it is illustrated by experiments in HDR scenarios

each frame of the video can maintain all the information of the scene without exposure problems. In this paper

many strategies for optimizing and accelerating the image fusion are proposed and the improved image fusion method is utilized to the real-time video capture ingeniously. The experimental results show that almost all the details are remained without exposure errors

even in HDR scenarios.