Blurry Image

Blurry image processing focuses on recovering sharp images or 3D scene representations from blurry inputs, a common challenge in various imaging scenarios. Current research heavily utilizes neural networks, particularly those leveraging implicit neural representations like NeRF and Gaussian splatting, often incorporating data from event cameras to improve temporal resolution and motion estimation. These advancements aim to improve the accuracy and efficiency of deblurring algorithms, with applications ranging from high-speed photography and video enhancement to 3D scene reconstruction and novel view synthesis. The resulting improvements in image and video quality have significant implications for numerous fields, including medical imaging, astronomy, and autonomous driving.