Motion blur can significantly reduce the quality of images, and researchers have developed
various algorithms to address this issue. One common approach to deblurring is to use
deconvolution to cancel out the blur effect, but this method is limited by the difficulty of
accurately estimating blur kernels from blurred images. This is because the motion causing
the blur is often complex and nonlinear. In this paper, a new method for estimating blur
kernels is proposed. This method uses an event camera, which captures high-temporal …