The authors propose a method to obtain a high dynamic range (HDR) image from multiple images with different exposure. Unlike conventional methods that use multiple images with different shutter speeds, the proposed method takes multiple images with identical and short shutter speeds but with different apertures. Consequently, the input low dynamic range image is less affected by scene change, while it has undesirable defocus blur due to different depth of field. In order to mitigate defocus blur of input images with larger apertures, we estimate the defocus map of each input image and use it as the spatially variant point spread function to deblur the image. Then, we extract the weight maps of input images, which are used to combine them to synthesize an HDR image. Our experimental results show that the proposed algorithm produces high-quality HDR images using a small number (typically three) of input images.