Oct 17, 2021 · This paper investigates the 4-D light field (LF) reconstruction from 2-D measurements captured by the coded aperture camera.
In this paper, we present a framework of fusion and compression of multi-focus images using learned dictionary. A single dictionary, learned from a set of ...
Learning Spatial-angular Fusion for Compressive Light Field Imaging in a Cycle-consistent Framework · Computer Science, Engineering. ACM Multimedia · 2021.
Aug 23, 2020 · The proposed method incorporates the measurement observation into the deep learning framework elegantly to avoid relying entirely on data-driven ...
In this paper, we propose a novel end-to-end spatial-angular-decorrelated network (SADN) for high-efficiency light field image compression.
Missing: Cycle- Framework.
Learning spatial-angular fusion for compressive light field imaging in a cycle-consistent framework. X Lyu, Z Zhu, M Guo, J Jin, J Hou, H Zeng. Proceedings of ...
May 30, 2024 · This paper aims to review the existing learning-based solutions for light field imaging and to summarize the most promising frameworks.
Finally, we will introduce important techniques of light field processing, including depth estimation and compression, which are necessary intermediate steps ...
In this paper, we propose a physically interpretable framework incorporated with the probabilistic-based feature embedding to reconstruct the 4-D LF from 2-D ...
Zeng, Learning Spatial-angular Fusion for Compressive Light Field Imaging in a Cycle-consistent Framework, in Proc. ACM International Conference on ...