Traditional high dynamic range (HDR) imaging methods need to capture multiple images, which is not only easy to introduce field of view errors, but also difficult to apply to the emerging image acquisition system. To this end, this paper proposes a simple and effective HDR imaging method based on remapping and exposure fusion. This method only needs to capture a pair of short and long exposure images, and a series of multi-exposure sequence can then be generated through remapping. Next, according to the exposure evaluation, the weight map of the sequence can be obtained. The weight map is decomposed by Gaussian pyramid, and the multi-exposure sequence is decomposed by Laplacian pyramid. Finally, a high-quality HDR image with good details is generated based on multi-scale fusion. Experimental results show that the proposed method performs better in multiple scene tests, and the image quality is greatly improved in the MEF-SSIM score compared with some mainstream algorithms. The image qulity is improved by 13.33% compared with GF-MEF, and improved by 2.62% compared with CNN-MEF. The proposed method provides a new reference for the field of HDR imaging, and can be potentially applied to CCD/CMOS-based imaging systems for high-quality image acquisition.