A fast exposure fusion method was proposed to obtain high dynamic range target information from multi-exposure sequence. A new weight map was proposed, which gave consideration to both local details and global brightness. Secondly, on the premise of small time cost, a down-up-sampling computing method for the weight map was proposed, which could preserve local details well and eliminate artificial halos caused by pixel level fusion. And then, guided filter was used to remove the block artifact caused by up-sampling. The validity of the proposed fusion method was demonstrated by ten multi-exposure sequences, and the proposed fusion method was contrasted with three typicals of fusion algorithms. The experimental results show that the proposed fusion method has strongest retention capacity of the local details and the global brightness distribution of target scene. The quantitative comparison results show that the proposed method achieves better fusion qualiity, meanwhile, and the time cost is pretty small.