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 …
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
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 …
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
The large amount of complex scene information recorded by light field imaging has the
potential for immersive media applications. Compression and reconstruction algorithms are …
potential for immersive media applications. Compression and reconstruction algorithms are …
Multi-stream dense view reconstruction network for light field image compression
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 …
(LF) image compression. However, most existing methods fail to recover more texture details …
SADN: learned light field image compression with spatial-angular decorrelation
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 …
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 …
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 …
compression efficiency. However, these methods have difficulty in efficiently utilizing multi …
Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression
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 …
various orientations. They offer a more immersive perception, compared with classic 2D …
Learned focused plenoptic image compression with microimage preprocessing and global attention
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 …
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 …
field images captured by Plenoptic 2.0 with square microlenses. This method employs the 5 …