Light field angular super-resolution based on structure and scene information
Light fields contain a wealth of information about real-world scenes and can be easily
acquired by commercial light field cameras. However, the trade-off between angular and …
acquired by commercial light field cameras. However, the trade-off between angular and …
Geometry-assisted multi-representation view reconstruction network for light field image angular super-resolution
Light Field (LF) imaging enables many attractive applications since scene angular and
spatial information can be captured simultaneously. However, the limited angular resolution …
spatial information can be captured simultaneously. However, the limited angular resolution …
View position prior-supervised light field angular super-resolution network with asymmetric feature extraction and spatial-angular interaction
Light field imaging can record the intensity and direction information of light rays in space,
which attracts extensive attention. However, the trade-off between angular and spatial …
which attracts extensive attention. However, the trade-off between angular and spatial …
Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE)—A Novel DL Model for Image Multi-resolution
A Momenzadeh, E Baccarelli, M Scarpiniti… - Cognitive …, 2024 - Springer
In this paper, we design and evaluate the performance of the Multi-resolution Twinned
Residual Auto-Encoders (MR-TRAE) model, a deep learning (DL)-based architecture …
Residual Auto-Encoders (MR-TRAE) model, a deep learning (DL)-based architecture …
[PDF][PDF] 基于深度学习的光场超分辨率算法综述
熊娅维， 王安志， 张凯丽 - Laser & Optoelectronics Progress, 2024 - researching.cn
摘要光场图像分辨率低的原因之一是光场空间分辨率和角度分辨率之间存在相互制约.
光场超分辨率技术旨在从低分辨率光场图像中重建出高分辨率光场图像. 基于深度学习的光场超 …
光场超分辨率技术旨在从低分辨率光场图像中重建出高分辨率光场图像. 基于深度学习的光场超 …
Light field angular super-resolution based on intrinsic and geometric information
Light field imaging can encode abundant scene information, including the intensity and
direction of light rays, into 4D light field images. However, the limited number of sensors in …
direction of light rays, into 4D light field images. However, the limited number of sensors in …
[Retracted] Film and Video Quality Optimization Using Attention Mechanism‐Embedded Lightweight Neural Network Model
Y Ma - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
In filming, the collected video may be blurred due to camera shake and object movement,
causing the target edge to be unclear or deforming the targets. In order to solve these …
causing the target edge to be unclear or deforming the targets. In order to solve these …
A GPU-accelerated light-field super-resolution framework based on mixed noise model and weighted regularization
TH Tran, K Sun, S Simon - Journal of Real-Time Image Processing, 2022 - Springer
Abstract Light-field (LF) super-resolution (SR) plays an essential role in alleviating the
current technology challenge in the acquisition of a 4D LF, which assembles both high …
current technology challenge in the acquisition of a 4D LF, which assembles both high …
End-to-End Single Image Super-Resolution Based on Convolutional Neural Networks
Single image super-resolution algorithms aim to increase the resolution of an input image
without deteriorating its visual perception. With a strong ability to understand the structure of …
without deteriorating its visual perception. With a strong ability to understand the structure of …