Blind deconvolution is solved by alternating gradient descent in the latent spaces of pretrained image and blur-kernel generators, with a slack variant that relaxes the image constraint.
Deep Ptych: Subsampled Fourier Ptychography using Generative Priors
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abstract
This paper proposes a novel framework to regularize the highly ill-posed and non-linear Fourier ptychography problem using generative models. We demonstrate experimentally that our proposed algorithm, Deep Ptych, outperforms the existing Fourier ptychography techniques, in terms of quality of reconstruction and robustness against noise, using far fewer samples. We further modify the proposed approach to allow the generative model to explore solutions outside the range, leading to improved performance.
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2019 1verdicts
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Blind Image Deconvolution using Pretrained Generative Priors
Blind deconvolution is solved by alternating gradient descent in the latent spaces of pretrained image and blur-kernel generators, with a slack variant that relaxes the image constraint.