In this paper we evaluate deep neural network models for image deblurring on light optical microscopy data. We present a new image deblurring dataset with sharp ...
In this paper we evaluate deep neural network models for image deblurring on light optical microscopy data. We present a new image deblurring dataset with sharp ...
In this paper we evaluate deep neural network models for image deblurring on light optical microscopy data. We present a new image deblurring dataset with sharp ...
In this paper we evaluate deep neural network models for image deblurring on light optical microscopy data. We present a new image deblurring dataset with sharp ...
Sep 23, 2022 · Comparison of deep learning methods for image deblurring on light optical materials microscopy data. Patrick Krawczyk, Hermann Baumgartl ...
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Apr 6, 2022 · The review summarises and critiques the use of DL in image processing for the data collected using various optical microscopic techniques.
Missing: deblurring | Show results with:deblurring
We demonstrate that a deep neural network can significantly improve optical microscopy, enhancing its spatial resolution over a large field of view and depth ...
Missing: deblurring | Show results with:deblurring
Feb 23, 2022 · In this review, we present an overview of the current status and the latest progress of deep-learning technologies in the field of optical metrology.
Jul 16, 2024 · We introduce DeBCR, a physics-informed deep learning model based on wavelet theory to enhance microscopy images.
Missing: Comparison methods
Aug 10, 2024 · In comparison, image deblurring methods based on deep learning normally utilize the excellent feature learning ability of neural networks to ...