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Feb 24, 2022 · In this note, we will review some of the recent developments of the machine learning approach for computational imaging and discuss its ...
Abstract. Computational imaging has been playing a vital role in the develop- ment of natural sciences. Advances in sensory, information, and computer.
Feb 24, 2022 · Abstract. Computational imaging has been playing a vital role in the develop- ment of natural sciences. Advances in sensory, information, ...
Feb 24, 2022 · In this paper, we propose a new deep learning based model for CT image reconstruction with the backbone network architecture built by unrolling ...
A Note on Machine Learning Approach for Computational Imaging · Bin Dong · Published in arXiv.org 24 February 2022 · Computer Science, Mathematics.
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Machine learning architectures, and deep neural networks in particular, can be effective for computational image formation, aside from interpretation.
In this paper, we review these developments in the specific context of quantitative phase imaging and emphasizing the impact of object power spectral density ...
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Duration: 44:14
Posted: Oct 11, 2022
Posted: Oct 11, 2022
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A book appears which connects theory to algorithms and through them to convincing applications. This book will surely be with us for quite some time to come.
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These new methods lead to a renaissance in computational imaging and new insights into designing neural networks and other machine learning models.