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Capturing images under extremely low-light conditions poses significant challenges for the standard camera pipeline. Images become too dark and too noisy, which makes traditional enhancement techniques almost impossible to apply. Recently,…

Computer Vision and Pattern Recognition · Computer Science 2021-11-23 Ahmet Serdar Karadeniz , Erkut Erdem , Aykut Erdem

As the ubiquity of smart mobile devices continues to rise, Optical Camera Communication systems have gained more attention as a solution for efficient and private data streaming. This system utilizes optical cameras to receive data from…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Hang Su , Ling Gao , Tao Liu , Laurent Kneip

Convolutional networks optimized for accuracy on challenging, dense prediction tasks are prohibitively slow to run on each frame in a video. The spatial similarity of nearby video frames, however, suggests opportunity to reuse computation.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-27 Samvit Jain , Joseph E. Gonzalez

The ability to record high-fidelity videos at high acquisition rates is central to the study of fast moving phenomena. The difficulty of imaging fast moving scenes lies in a trade-off between motion blur and underexposure noise: On the one…

Computer Vision and Pattern Recognition · Computer Science 2022-11-30 Weihao Zhuang , Tristan Hascoet , Ryoichi Takashima , Tetsuya Takiguchi

In this paper, we propose the first higher frame rate video dataset (called Need for Speed - NfS) and benchmark for visual object tracking. The dataset consists of 100 videos (380K frames) captured with now commonly available higher frame…

Computer Vision and Pattern Recognition · Computer Science 2017-03-23 Hamed Kiani Galoogahi , Ashton Fagg , Chen Huang , Deva Ramanan , Simon Lucey

We propose a computational imaging method for time-efficient light-field acquisition that combines a coded aperture with an event-based camera. Different from the conventional coded-aperture imaging method, our method applies a sequence of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Shuji Habuchi , Keita Takahashi , Chihiro Tsutake , Toshiaki Fujii , Hajime Nagahara

Volumetric biological imaging often involves compromising high temporal resolution at the expense of high spatial resolution when popular scanning methods are used to capture 3D information. We introduce an integrated experimental and image…

The task of capturing and rendering 3D dynamic scenes from 2D images has become increasingly popular in recent years. However, most conventional cameras are bandwidth-limited to 30-60 FPS, restricting these methods to static or slowly…

Computer Vision and Pattern Recognition · Computer Science 2026-04-30 David Novikov , Eilon Vaknin , Narek Tumanyan , Mark Sheinin

Modelling the mapping from scene irradiance to image intensity is essential for many computer vision tasks. Such mapping is known as the camera response. Most digital cameras use a nonlinear function to map irradiance, as measured by the…

Computer Vision and Pattern Recognition · Computer Science 2022-09-09 Yunfeng Zhao , Stuart Ferguson , Huiyu Zhou , Karen Rafferty

The electronic properties of graphene are unique and are attracting increased attention to this novel 2-dimensional system. Its photonic properties are not less impressive. For example, this single atomic layer absorbs through direct…

Materials Science · Physics 2009-12-25 Fengnian Xia , Thomas Mueller , Yu-ming Lin , Alberto Valdes-Garcia , Phaedon Avouris

Event cameras capture changes of illumination in the observed scene rather than accumulating light to create images. Thus, they allow for applications under high-speed motion and complex lighting conditions, where traditional framebased…

Computer Vision and Pattern Recognition · Computer Science 2021-12-21 Vincent Brebion , Julien Moreau , Franck Davoine

Depth imaging is vital for many emerging technologies with applications in augmented reality, robotics, gesture detection, and facial recognition. These applications, however, demand compact and low-power systems beyond the capabilities of…

Optics · Physics 2019-10-29 Shane Colburn , Arka Majumdar

The EMCCD is a CCD type that delivers fast readout and negligible detector noise, making it an ideal detector for high frame rate applications. Because of the very low detector noise, this detector can potentially count single photons.…

Instrumentation and Methods for Astrophysics · Physics 2013-03-08 Kennet B. W. Harpsøe , Michael I. Andersen , Per Kjægaard

Single-photon avalanche diode (SPAD) arrays have transformed optical imaging by enabling photon-counting sensitivity, picosecond resolution, and high frame-rate operation. These capabilities, however, have remained confined to the visible…

A simple method for synchronization of video streams with a precision better than one millisecond is proposed. The method is applicable to any number of rolling shutter cameras and when a few photographic flashes or other abrupt lighting…

Computer Vision and Pattern Recognition · Computer Science 2020-08-10 Matej Smid , Jiri Matas

Due to their high temporal resolution and large dynamic range, event cameras are uniquely suited for the analysis of time-periodic signals in an image. In this work we present an efficient and fully asynchronous event camera algorithm for…

Computer Vision and Pattern Recognition · Computer Science 2025-10-24 Bernd Pfrommer

We proposed a novel approach to coherent imaging of dynamic samples. The inter-frame similarity of the sample's local structures is found to be a powerful constraint in phasing a sequence of diffraction patterns. We devised a new image…

Optics · Physics 2024-07-11 Pengju Sheng , Fucai Zhang

Light field cameras have been proved to be powerful tools for 3D reconstruction and virtual reality applications. However, the limited resolution of light field images brings a lot of difficulties for further information display and…

Image and Video Processing · Electrical Eng. & Systems 2020-08-27 Qingyan Sun , Shuo Zhang , Song Chang , Lixi Zhu , Youfang Lin

Fluorescence microscopy is widely employed for the analysis of living biological samples; however, the utility of the resulting recordings is frequently constrained by noise, temporal variability, and inconsistent visualisation of signals…

Computer Vision and Pattern Recognition · Computer Science 2026-01-16 Hassan Eshkiki , Sarah Costa , Mostafa Mohammadpour , Farinaz Tanhaei , Christopher H. George , Fabio Caraffini

We describe a fast data-driven optical camera, Tpx3Cam, with nanosecond scale timing resolution and 80 Mpixel/sec throughput. After the addition of intensifier, the camera is single photon sensitive with quantum efficiency determined…