Apr 7, 2021 � In this paper, we propose a improved GI method based on Denoising Convolutional Neural Networks (DnCNN). Inspired by the corresponding between�...

Sep 24, 2024 � In this paper, we propose a improved GI method based on Denoising Convolutional Neural Networks (DnCNN). Inspired by the corresponding between�...

Abstract—Ghost imaging (GI) has been paid attention grad- ually because of its lens-less imaging capability, turbulence- free imaging and high detection�...

Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging ... Ghost imaging (GI) has been paid attention gradually because of its lens-less�...

Oct 5, 2024 � designed a specialized deep neural network customized to speckle pattern generation by utilizing the convolution concept in the convolutional�...

Situ proposed a deep-learning-based GI scheme in which a deep neural network was trained to learn the sensing model and increase the quality of image�...

Jun 10, 2021 � Image denoising faces significant challenges, arising from the sources of noise. Specifically, Gaussian, impulse, salt, pepper, and speckle�...

Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging ... Ghost imaging (GI) has been paid attention gradually because of its lens-less�...

Jan 1, 2023 � We here propose an architecture called Speckle-Driving De-Artifact Nets (SDDAN), which aims to remove the artifacts induced by sparse array in�...

Apr 24, 2018 � ... deep learning ghost imaging method is proposed in this paper. We modified the convolutional neural network that is commonly used in deep�...