Survey of deblurring motion images with unknown motion with Xiang
Survey of deblurring motion images with unknown motion with Xiang
Application of Deep Learning in Blind Motion Deblurring: Current Status and Future Prospects
arXiv paper abstract https://arxiv.org/abs/2401.05055
arXiv PDF paper https://arxiv.org/pdf/2401.05055.pdf
... blind motion deblurring has emerged, aiming to restore clear and detailed images without prior knowledge of the blur type
... paper ... providing an exhaustive overview of the role of deep learning in blind motion deblurring, encompassing datasets, evaluation metrics, and methods developed over the last six years.
... introduce the types of motion blur and the fundamental principles of deblurring ... outline the shortcomings of traditional non-blind deblurring algorithms, emphasizing the advantages of ... deep learning
... categorize and summarize existing blind motion deblurring methods based on different backbone networks, including convolutional neural networks, generative adversarial networks, recurrent neural networks, and Transformer networks.
... elaborate ... on the fundamental principles of these different categories ... provide a comprehensive summary and comparison of their advantages and limitations.
Qualitative and quantitative experimental results conducted on four widely used datasets further compare the performance of SOTA methods ...
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