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Non-blind Image Restoration Based on Convolutional Neural Network
[article]
2018
arXiv
pre-print
Blind image restoration processors based on convolutional neural network (CNN) are intensively researched because of their high performance. However, they are too sensitive to the perturbation of the degradation model. They easily fail to restore the image whose degradation model is slightly different from the trained degradation model. In this paper, we propose a non-blind CNN-based image restoration processor, aiming to be robust against a perturbation of the degradation model compared to the
arXiv:1809.03757v1
fatcat:zr4phlfkrnefvmj75iwakwdgc4