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Recently, Dynamic Vision Sensors (DVSs) sparked a lot of interest due to their inherent advantages over conventional RGB cameras. These advantages include a low latency, a high dynamic range and a low energy consumption. Nevertheless, the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-05 Katharina Bendig , René Schuster , Didier Stricker

Capturing High Dynamic Range (HDR) scenery using 8-bit cameras often suffers from over-/underexposure, loss of fine details due to low bit-depth compression, skewed color distributions, and strong noise in dark areas. Traditional LDR image…

Image and Video Processing · Electrical Eng. & Systems 2024-06-14 Baiang Li , Sizhuo Ma , Yanhong Zeng , Xiaogang Xu , Youqing Fang , Zhao Zhang , Jian Wang , Kai Chen

Synthesizing high dynamic range (HDR) images from multiple low-dynamic range (LDR) exposures in dynamic scenes is challenging. There are two major problems caused by the large motions of foreground objects. One is the severe misalignment…

Image and Video Processing · Electrical Eng. & Systems 2021-04-07 Yuzhen Niu , Jianbin Wu , Wenxi Liu , Wenzhong Guo , Rynson W. H. Lau

High Dynamic Range (HDR) images are generated using multiple exposures of a scene. When a hand-held camera is used to capture a static scene, these images need to be aligned by globally shifting each image in both dimensions. For a fast and…

Computer Vision and Pattern Recognition · Computer Science 2020-07-14 Kadir Cenk Alpay , Kadir Berkay Aydemir , Alptekin Temizel

Non-uniform image deblurring is a challenging task due to the lack of temporal and textural information in the blurry image itself. Complementary information from auxiliary sensors such event sensors are being explored to address these…

Computer Vision and Pattern Recognition · Computer Science 2022-08-25 Patricia Vitoria , Stamatios Georgoulis , Stepan Tulyakov , Alfredo Bochicchio , Julius Erbach , Yuanyou Li

High dynamic range (HDR) capture and display have seen significant growth in popularity driven by the advancements in technology and increasing consumer demand for superior image quality. As a result, HDR image compression is crucial to…

Image and Video Processing · Electrical Eng. & Systems 2024-07-19 Peibei Cao , Haoyu Chen , Jingzhe Ma , Yu-Chieh Yuan , Zhiyong Xie , Xin Xie , Haiqing Bai , Kede Ma

A neuromorphic camera is an image sensor that emulates the human eyes capturing only changes in local brightness levels. They are widely known as event cameras, silicon retinas or dynamic vision sensors (DVS). DVS records asynchronous…

Computer Vision and Pattern Recognition · Computer Science 2022-10-28 Sally Khaidem , Mansi Sharma , Abhipraay Nevatia

This paper describes a physics-based end-to-end software simulation for image systems. We use the software to explore sensors designed to enhance performance in high dynamic range (HDR) environments, such as driving through daytime tunnels…

Computer Vision and Pattern Recognition · Computer Science 2024-08-23 Zhenyi Liu , Devesh Shah , Brian Wandell

Event cameras are novel bio-inspired vision sensors that output pixel-level intensity changes in microsecond accuracy with a high dynamic range and low power consumption. Despite these advantages, event cameras cannot be directly applied to…

Computer Vision and Pattern Recognition · Computer Science 2022-11-02 Jinjin Gu , Jinan Zhou , Ringo Sai Wo Chu , Yan Chen , Jiawei Zhang , Xuanye Cheng , Song Zhang , Jimmy S. Ren

Event cameras are a new type of sensors that are different from traditional cameras. Each pixel is triggered asynchronously by event. The trigger event is the change of the brightness irradiated on the pixel. If the increment or decrement…

Computer Vision and Pattern Recognition · Computer Science 2022-03-24 Kun Xiao , Guohui Wang , Yi Chen , Jinghong Nan , Yongfeng Xie

Hybrid Event-Based Vision Sensor (HybridEVS) is a novel sensor integrating traditional frame-based and event-based sensors, offering substantial benefits for applications requiring low-light, high dynamic range, and low-latency…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Senyan Xu , Zhijing Sun , Jiaying Zhu , Yurui Zhu , Xueyang Fu , Zheng-Jun Zha

Dynamic vision sensors or event cameras provide rich complementary information for video frame interpolation. Existing state-of-the-art methods follow the paradigm of combining both synthesis-based and warping networks. However, few of…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Jiaben Chen , Yichen Zhu , Dongze Lian , Jiaqi Yang , Yifu Wang , Renrui Zhang , Xinhang Liu , Shenhan Qian , Laurent Kneip , Shenghua Gao

Event cameras asynchronously capture pixel-level intensity changes with extremely low latency. They are increasingly used in conjunction with RGB cameras for a wide range of vision-related applications. However, a major challenge in these…

Computer Vision and Pattern Recognition · Computer Science 2025-06-26 Pujing Yang , Guangyi Zhang , Yunlong Cai , Lei Yu , Guanding Yu

Event cameras can capture pixel-level illumination changes with very high temporal resolution and dynamic range. They have received increasing research interest due to their robustness to lighting conditions and motion blur. Two main…

Computer Vision and Pattern Recognition · Computer Science 2022-09-20 Raul Tapia , Augusto Gómez Eguíluz , José Ramiro Martínez-de Dios , Anibal Ollero

Millimeter-wave radar plays a vital role in 3D object detection for autonomous driving due to its all-weather and all-lighting-condition capabilities for perception. However, radar point clouds suffer from pronounced sparsity and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Zijian Gu , Jianwei Ma , Yan Huang , Honghao Wei , Zhanye Chen , Hui Zhang , Wei Hong

Event-based cameras are vision devices that transmit only brightness changes with low latency and ultra-low power consumption. Such characteristics make event-based cameras attractive in the field of localization and object tracking in…

Computer Vision and Pattern Recognition · Computer Science 2020-10-30 Sherif A. S. Mohamed , Jawad N. Yasin , Mohammad-hashem Haghbayan , Antonio Miele , Jukka Heikkonen , Hannu Tenhunen , Juha Plosila

We introduce a novel phase-shifting digital holography (PSDH) method leveraging a hybrid event-based vision sensor (EVS). The key idea of our method is the phase shift during a single exposure. The hybrid EVS records a hologram blurred by…

Information Theory · Computer Science 2026-01-19 Ittetsu Uchiyama , Chihiro Tsutake , Keita Takahashi , Toshiaki Fujii

Event camera sensors are bio-inspired sensors which asynchronously capture per-pixel brightness changes and output a stream of events encoding the polarity, location and time of these changes. These systems are witnessing rapid advancements…

Computer Vision and Pattern Recognition · Computer Science 2025-09-15 Aupendu Kar , Vishnu Raj , Guan-Ming Su

Temporal Video Frame Synthesis (TVFS) aims at synthesizing novel frames at timestamps different from existing frames, which has wide applications in video codec, editing and analysis. In this paper, we propose a high framerate TVFS…

Computer Vision and Pattern Recognition · Computer Science 2019-07-09 Zihao W. Wang , Weixin Jiang , Kuan He , Boxin Shi , Aggelos Katsaggelos , Oliver Cossairt

Editing High Dynamic Range (HDR) environment maps using an inverse differentiable rendering architecture is a complex inverse problem due to the sparsity of relevant pixels and the challenges in balancing light sources and background. The…

Computer Vision and Pattern Recognition · Computer Science 2024-10-25 Antonio D'Orazio , Davide Sforza , Fabio Pellacini , Iacopo Masi