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Exploiting light field data makes it possible to obtain dense and accurate depth map. However, synthetic scenes with limited disparity range cannot contain the diversity of real scenes. By training in synthetic data, current learning-based…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Kunyuan Li , Jun Zhang , Jun Gao , Meibin Qi

Plenoptic cameras offer a cost effective solution to capture light fields by multiplexing multiple views on a single image sensor. However, the high angular resolution is achieved at the expense of reducing the spatial resolution of each…

Computer Vision and Pattern Recognition · Computer Science 2018-09-28 Reuben A. Farrugia , C. Guillemot

Light field (LF) images containing information for multiple views have numerous applications, which can be severely affected by low-light imaging. Recent learning-based methods for low-light enhancement have some disadvantages, such as a…

Computer Vision and Pattern Recognition · Computer Science 2023-08-16 Shansi Zhang , Nan Meng , Edmund Y. Lam

Light field cameras capture both the spatial and the angular properties of light rays in space. Due to its property, one can compute the depth from light fields in uncontrolled lighting environments, which is a big advantage over active…

Computer Vision and Pattern Recognition · Computer Science 2018-04-09 Changha Shin , Hae-Gon Jeon , Youngjin Yoon , In So Kweon , Seon Joo Kim

Light field (LF) image super-resolution (SR) is a challenging problem due to its inherent ill-posed nature, where a single low-resolution (LR) input LF image can correspond to multiple potential super-resolved outcomes. Despite this…

Image and Video Processing · Electrical Eng. & Systems 2023-11-29 Wentao Chao , Fuqing Duan , Xuechun Wang , Yingqian Wang , Guanghui Wang

Light field (LF) cameras record both intensity and directions of light rays, and capture scenes from a number of viewpoints. Both information within each perspective (i.e., spatial information) and among different perspectives (i.e.,…

Image and Video Processing · Electrical Eng. & Systems 2020-06-05 Yingqian Wang , Longguang Wang , Jungang Yang , Wei An , Jingyi Yu , Yulan Guo

Multi-image super-resolution (MISR) allows to increase the spatial resolution of a low-resolution (LR) acquisition by combining multiple images carrying complementary information in the form of sub-pixel offsets in the scene sampling, and…

Computer Vision and Pattern Recognition · Computer Science 2024-01-31 Luca Savant Aira , Diego Valsesia , Andrea Bordone Molini , Giulia Fracastoro , Enrico Magli , Andrea Mirabile

Light field (LF) image super-resolution benefits from Epipolar Plane Images (EPIs), whose line slopes explicitly encode disparity. However, existing Transformer-based LF SR methods mainly attend to horizontal and vertical EPIs, leaving…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Kunyu Li , Fei Wang , Lichao Zhang , Junjie Liu , Bihong Li

Correlation plenoptic imaging (CPI) is emerging as a promising approach to light-field imaging (LFI), a technique enabling simultaneous measurement of light intensity distribution and propagation direction from a scene. LFI allows…

Optics · Physics 2024-06-21 Gianlorenzo Massaro

Light field cameras record not only the spatial information of observed scenes but also the directions of all incoming light rays. The spatial and angular information implicitly contain geometrical characteristics such as multi-view or…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Kunyuan Li , Jun Zhang , Rui Sun , Xudong Zhang , Jun Gao

Dense light field depth estimation remains challenging due to sparse angular sampling, occlusion boundaries, textureless regions, and the cost of exhaustive multi-view matching. We propose \emph{Deep Spectral Epipolar Representation}…

Computer Vision and Pattern Recognition · Computer Science 2026-04-08 Noor Islam S. Mohammad , Md Muntaqim Meherab

Light Field (LF) offers unique advantages such as post-capture refocusing and depth estimation, but low-light conditions limit these capabilities. To restore low-light LFs we should harness the geometric cues present in different LF views,…

Image and Video Processing · Electrical Eng. & Systems 2020-12-29 Mohit Lamba , Kranthi Kumar , Kaushik Mitra

Recently, numerous algorithms have been developed to tackle the problem of light field super-resolution (LFSR), i.e., super-resolving low-resolution light fields to gain high-resolution views. Despite delivering encouraging results, these…

Computer Vision and Pattern Recognition · Computer Science 2022-01-04 Shunzhou Wang , Tianfei Zhou , Yao Lu , Huijun Di

This paper explores the problem of reconstructing high-resolution light field (LF) images from hybrid lenses, including a high-resolution camera surrounded by multiple low-resolution cameras. The performance of existing methods is still…

Image and Video Processing · Electrical Eng. & Systems 2023-06-21 Jing Jin , Mantang Guo , Junhui Hou , Hui Liu , Hongkai Xiong

Capturing different intensity and directions of light rays at the same scene Light field (LF) can encode the 3D scene cues into a 4D LF image which has a wide range of applications (i.e. post-capture refocusing and depth sensing). LF image…

Image and Video Processing · Electrical Eng. & Systems 2024-09-27 Zhongxin Yu , Liang Chen , Zhiyun Zeng , Kunping Yang , Shaofei Luo , Shaorui Chen , Cheng Zhong

Light field photography enables to record 4D images, containing angular information alongside spatial information of the scene. One of the important applications of light field imaging is post-capture refocusing. Current methods require for…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 Shachar Ben Dayan , David Mendlovic , Raja Giryes

Axial light field resolution refers to the ability to distinguish features at different depths by refocusing. The axial refocusing precision corresponds to the minimum distance in the axial direction between two distinguishable refocusing…

Image and Video Processing · Electrical Eng. & Systems 2021-03-12 Zhaolin Xiao , Jinglei Shi , Xiaoran Jiang , Christine Guillemot

Light field presents a rich way to represent the 3D world by capturing the spatio-angular dimensions of the visual signal. However, the popular way of capturing light field (LF) via a plenoptic camera presents spatio-angular resolution…

Computer Vision and Pattern Recognition · Computer Science 2019-10-22 Anil Kumar Vadathya , Sharath Girish , Kaushik Mitra

Hyperspectral Imagery (HSI) has been used in many applications to non-destructively determine the material and/or chemical compositions of samples. There is growing interest in creating 3D hyperspectral reconstructions, which could provide…

Computer Vision and Pattern Recognition · Computer Science 2024-03-25 Gerry Chen , Sunil Kumar Narayanan , Thomas Gautier Ottou , Benjamin Missaoui , Harsh Muriki , Cédric Pradalier , Yongsheng Chen

Light field (LF) imaging has gained significant attention due to its recent success in 3-dimensional (3D) displaying and rendering as well as augmented and virtual reality usage. Nonetheless, because of the two extra dimensions, LFs are…

Image and Video Processing · Electrical Eng. & Systems 2022-04-20 Eisa Hedayati , Timothy C. Havens , Jeremy P. Bos