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Light field (LF) imaging captures both angular and spatial light distributions, enabling advanced photographic techniques. However, micro-lens array (MLA)- based cameras face a spatial-angular resolution tradeoff due to a single shared…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Javeria Shabbir , Muhammad Zeshan. Alam , M. Umair Mukati

Light-field microscopy represents a promising solution for microscopic volumetric imaging, thanks to its capability to encode information on multiple planes in a single acquisition. This is achieved through its peculiar simultaneous capture…

The spatio-angular resolution of a light field (LF) display is a crucial factor for delivering adequate spatial image quality and eliciting an accommodation response. Previous studies have modelled retinal image formation with an LF display…

Image and Video Processing · Electrical Eng. & Systems 2022-10-12 Yuta Miyanishi , Erdem Sahin , Atanas Gotchev

Light field (LF) image super-resolution (SR) aims at reconstructing high-resolution LF images from their low-resolution counterparts. Although CNN-based methods have achieved remarkable performance in LF image SR, these methods cannot fully…

Computer Vision and Pattern Recognition · Computer Science 2022-01-31 Zhengyu Liang , Yingqian Wang , Longguang Wang , Jungang Yang , Shilin Zhou

Light field imaging involves capturing both angular and spatial distribution of light; it enables new capabilities, such as post-capture digital refocusing, camera aperture adjustment, perspective shift, and depth estimation. Micro-lens…

Computer Vision and Pattern Recognition · Computer Science 2017-10-20 M. Zeshan Alam , Bahadir K. Gunturk

Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusing, post-capture aperture control, and depth estimation from…

Computer Vision and Pattern Recognition · Computer Science 2018-03-14 M. Shahzeb Khan Gul , Bahadir K. Gunturk

Most computer vision systems and computational photography systems are visible light based which is a small fraction of the electromagnetic (EM) spectrum. In recent years radio frequency (RF) hardware has become more widely available, for…

Image and Video Processing · Electrical Eng. & Systems 2019-01-15 Manikanta Kotaru , Guy Satat , Ramesh Raskar , Sachin Katti

When used with coherent light, optical imaging systems, even diffraction-limited, are inherently unable to reproduce both the amplitude and the phase of a two-dimensional field distribution because their impulse response function varies…

Optics · Physics 2009-11-13 E. Brainis , C. Muldoon , L. Brandt , A. Kuhn

The Light Field (LF) deblurring task is a challenging problem as the blur images are caused by different reasons like the camera shake and the object motion. The single image deblurring method is a possible way to solve this problem.…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Zeqi Shen , Shuo Zhang , Zhuhao Zhang , Qihua Chen , Xueyao Dong , Youfang Lin

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

We explore the use of inexpensive consumer light- field camera technology for the purpose of light-field mi- croscopy. Our experiments are based on the Lytro (first gen- eration) camera. Unfortunately, the optical systems of the Lytro and…

Graphics · Computer Science 2015-12-08 Lois Mignard-Debise , Ivo Ihrke

The resolution of optical imaging devices is ultimately limited by the diffraction of light. To circumvent this limit, modern super-resolution microscopy techniques employ active interaction with the object by exploiting its optical…

Optics · Physics 2022-01-05 A. A. Pushkina , G. Maltese , J. I. Costa-Filho , P. Patel , A. I. Lvovsky

Light field cameras enable new capabilities, such as post-capture refocusing and aperture control, through capturing directional and spatial distribution of light rays in space. Micro-lens array based light field camera design is often…

Computer Vision and Pattern Recognition · Computer Science 2018-06-12 M. Umair Mukati , Bahadir K. Gunturk

Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introduce a high-dimensional neural representation of…

Image and Video Processing · Electrical Eng. & Systems 2025-07-18 Esther Y. H. Lin , Zhecheng Wang , Rebecca Lin , Daniel Miau , Florian Kainz , Jiawen Chen , Xuaner Cecilia Zhang , David B. Lindell , Kiriakos N. Kutulakos

Light field imaging, which captures spatio-angular information of incident light on image sensor, enables many interesting applications like image refocusing and augmented reality. However, due to the limited sensor resolution, a trade-off…

Image and Video Processing · Electrical Eng. & Systems 2020-07-15 Chang-Le Liu , Kuang-Tsu Shih , Jiun-Woei Huang , Homer H. Chen

A Light Field (LF) camera consists of an additional two-dimensional array of micro-lenses placed between the main lens and sensor, compared to a conventional camera. The sensor pixels under each micro-lens receive light from a sub-aperture…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Suresh Nehra , Aupendu Kar , Jayanta Mukhopadhyay , Prabir Kumar Biswas

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

Images from adaptive optics systems are generally affected by significant distortions of the point spread function (PSF) across the field of view, depending on the position of natural and artificial guide stars. Image reduction techniques…

Instrumentation and Methods for Astrophysics · Physics 2015-06-24 Andrea La Camera , Laura Schreiber , Emiliano Diolaiti , Patrizia Boccacci , Mario Bertero , Michele Bellazzini , Paolo Ciliegi

Image distortion due to weak gravitational lensing is examined using a non-perturbative method of integrating the geodesic deviation and optical scalar equations along the null geodesics connecting the observer to a distant source. The…

General Relativity and Quantum Cosmology · Physics 2011-09-28 Thomas P. Kling , Louis Bianchini

Image restoration of biological structures in microscopy poses unique challenges for preserving fine textures and sharp edges. While recent GAN-based image restoration formulations have introduced frequency-domain losses for natural images,…

Quantitative Methods · Quantitative Biology 2026-01-30 Xingjian Zhang , Claire Leclech , Louison Blivet-Bailly , Abdul I. Barakat , Elsa D. Angelini
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