The ReloBlur dataset for local motion deblurring consists of 2405 blurred images with the size of 2152×1436 that are divided into 2010 training images and 395 test images. The dataset consists of pairs of a realistic locally blurred image and the corresponding ground truth sharp image that are obtained by a synchronized beam-splitting photographing system. For efficient training and testing, we also provide the resized version of ReLoBlur Dataset with the size of 538x359.

The 1 st and 5 th columns of the above figure are local motion-blurred images. The 2nd and 6th columns are the corresponding sharp images. The pink solid boxes and pink dotted boxes denote the locally blurred regions from locally blurred images, and the corresponding sharp regions from sharp images. The blue solid boxes and the blue dotted boxes denote the sharp regions from locally blurred images and the corresponding sharp regions from sharp images.