Feb 2, 2024 � In this paper, we proposed a deep unrolling method for GI based on alternating direction method of multipliers (ADMM), called ADUNet-GI, which�...
Abstract—Due to the advantages that different from traditional imaging methods, ghost imaging (GI) attracts more and more researchers' attention, which has�...
Sep 24, 2024 � In this paper, we proposed a deep unrolling method for GI based on alternating direction method of multipliers (ADMM), called ADUNet-GI, which�...
In this paper, we have introduced a kind of algorithm based on compressed sensing into the asynchronous computational ghost imaging (ACGI) system.
A new real-time computational ghost imaging method based on deep learning technology and array spatial light field modulation is proposed
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This paper proposes a singular value decomposition compressed ghost imaging method based on deep unfolding. The measurement matrix and training data pairs�...
Aug 5, 2024 � ADMMNet-Based Deep Unrolling Method for Ghost Imaging. IEEE Trans. Computational Imaging 10: 233-245 (2024); 2023. [j9]. view. electronic�...
Dec 12, 2023 � Accurate navigation and targeting are critical for neurological interventions including biopsy and deep brain stimulation. Real-time image�...
Missing: Ghost | Show results with:Ghost
This article overviews how sparsity, data-driven methods and machine learning have, and will continue to, influence the general area of image reconstruction�...
Jul 22, 2020 � Ghost imaging using deep learning (GIDL) is a kind of computational quantum imaging method devised to improve the imaging efficiency.
Missing: ADMMNet- Unrolling