Stitched wide field of view light field image quality assessment: Benchmark database and objective metric

Y Cui, G Jiang, M Yu, Y Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the limitation of commercial light field camera hardware devices, the imaging field of
view is quite narrow. Numerous Light Field Image (LFI) stitching algorithms have been …

Light field salient object detection with sparse views via complementary and discriminative interaction network

Y Chen, G Li, P An, Z Liu, X Huang… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
4D light field data record the scene from multiple views, thus implicitly providing beneficial
depth cue for salient object detection in challenging scenes. Existing light field salient object …

Objective quality assessment of lenslet light field image based on focus stack

C Meng, P An, X Huang, C Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The large amount of complex scene information recorded by light field imaging has the
potential for immersive media applications. Compression and reconstruction algorithms are …

Multi-stream dense view reconstruction network for light field image compression

D Liu, Y Huang, Y Fang, Y Zuo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, many view synthesis-based methods are proposed for high-efficiency light field
(LF) image compression. However, most existing methods fail to recover more texture details …

SADN: learned light field image compression with spatial-angular decorrelation

K Tong, X Jin, C Wang, F Jiang - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Light field image becomes one of the most promising media types for immersive video
applications. In this paper, we propose a novel end-to-end spatial-angular-decorrelated …

Distilled low rank neural radiance field with quantization for light field compression

J Shi, C Guillemot - arXiv preprint arXiv:2208.00164, 2022 - arxiv.org
We propose in this paper a Quantized Distilled Low-Rank Neural Radiance Field (QDLR-
NeRF) representation for the task of light field compression. While existing compression …

End-to-End Light Field Image Compression with Multi-Domain Feature Learning

K Ye, Y Li, G Li, D Jin, B Zhao - Applied Sciences, 2024 - mdpi.com
Recently, end-to-end light field image compression methods have been explored to improve
compression efficiency. However, these methods have difficulty in efficiently utilizing multi …

Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression

J Shi, Y Xu, C Guillemot - IEEE Transactions on Image …, 2024 - ieeexplore.ieee.org
Light fields capture 3D scene information by recording light rays emitted from a scene at
various orientations. They offer a more immersive perception, compared with classic 2D …

Learned focused plenoptic image compression with microimage preprocessing and global attention

K Tong, X Jin, Y Yang, C Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Focused plenoptic cameras can record spatial and angular information of the light field (LF)
simultaneously with higher spatial resolution relative to traditional plenoptic cameras, which …

5-D Epanechnikov Mixture-of-Experts in Light Field Image Compression

B Liu, Y Zhao, X Jiang, X Ji, S Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this study, we propose a modeling-based compression approach for dense/lenslet light
field images captured by Plenoptic 2.0 with square microlenses. This method employs the 5 …