Blind Motion Deblurring through SinGAN Architecture
@article{Jain2020BlindMD, title={Blind Motion Deblurring through SinGAN Architecture}, author={Harshil Jain and Rohit Patil and Indra Deep Mastan and Shanmuganathan Raman}, journal={ArXiv}, year={2020}, volume={abs/2011.03705} }
Blind motion deblurring involves reconstructing a sharp image from an observation that is blurry. It is a problem that is ill-posed and lies in the categories of image restoration problems. The training data-based methods for image deblurring mostly involve training models that take a lot of time. These models are data-hungry i.e., they require a lot of training data to generate satisfactory results. Recently, there are various image feature learning methods developed which relieve us of the…
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