Blurred Image

Image deblurring aims to recover sharp images from blurred ones, a problem arising from various sources like camera shake, motion blur, and defocus. Current research focuses on improving deblurring performance through advanced deep learning architectures, including convolutional neural networks and generative adversarial networks, often coupled with innovative data augmentation techniques to handle diverse blur types and improve model generalization. This field is significant for enhancing image and video quality across numerous applications, from photography and videography to medical imaging and autonomous driving, where clear visual information is crucial.