Mar 17, 2022 · In this paper, we propose a novel end-to-end neural network to reconstruct high resolution images from non-regularly sampled sensor data. The ...
In this paper, we propose a novel end-to-end neural network to reconstruct high resolution images from non-regularly sampled sensor data. The network is a ...
Abstract—Quarter sampling and three-quarter sampling are novel sensor concepts that enable the acquisition of higher resolution images without increasing ...
Oct 15, 2021 · In this paper, we propose a novel end-to-end neural network to reconstruct high resolution images from non-regularly sampled sensor data.
In this paper, we propose to use an end-to-end neural network for non-regular sampling sensors. · The basic building block of neural networks such as VDSR are ...
In this paper, we propose a novel end-to-end neural network to reconstruct high resolution images from non-regularly sampled sensor data. The network is a ...
Apr 13, 2024 · In this paper, we propose a novel end-to-end neural network to reconstruct high resolution images from non-regularly sampled sensor data. The ...
A Novel End-To-End Network for Reconstruction of Non-Regularly Sampled Image Data Using Locally Fully Connected Layers. S Grosche, F Brand, A Kaup. 2021 IEEE ...
A Novel End-To-End Network for Reconstruction of Non-Regularly Sampled Image Data Using Locally Fully Connected Layers. Grosche S, Brand F, Kaup A (2021) ...
A Novel End-To-End Network for Reconstruction of Non-Regularly Sampled Image Data Using Locally Fully Connected Layers · 1 code implementation • 17 Mar 2022 ...