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Modulo imaging enables high dynamic range (HDR) acquisition by cyclically wrapping saturated intensities, but accurate reconstruction remains challenging due to ambiguities between natural image edges and artificial wrap discontinuities.…

Image and Video Processing · Electrical Eng. & Systems 2026-03-02 Brayan Monroy , Jorge Bacca

Within an imaging instrument's field of view, there may be many observational targets of interest. Similarly, within a spectrograph's bandpass, there may be many emission lines of interest. The brightness of these targets and lines can be…

Instrumentation and Methods for Astrophysics · Physics 2022-01-19 James Paul Mason , Daniel B. Seaton , Andrew R. Jones , Meng Jin , Phillip C. Chamberlin , Alan Sims , Thomas N. Woods

The prime goal of digital imaging techniques is to reproduce the realistic appearance of a scene. Low Dynamic Range (LDR) cameras are incapable of representing the wide dynamic range of the real-world scene. The captured images turn out to…

Computer Vision and Pattern Recognition · Computer Science 2021-10-18 Prarabdh Raipurkar , Rohil Pal , Shanmuganathan Raman

Immersive displays such as VR headsets, AR glasses, Multiview displays, Free point televisions have emerged as a new class of display technologies in recent years, offering a better visual experience and viewer engagement as compared to…

Computer Vision and Pattern Recognition · Computer Science 2022-06-23 Rohit Choudhary , Mansi Sharma , Aditya Wadaskar

Event cameras are ideally suited to capture HDR visual information without blur but perform poorly on static or slowly changing scenes. Conversely, conventional image sensors measure absolute intensity of slowly changing scenes effectively…

Computer Vision and Pattern Recognition · Computer Science 2022-05-12 Ziwei Wang , Yonhon Ng , Cedric Scheerlinck , Robert Mahony

High Dynamic Range (HDR) generation remains challenging for generative models, which are largely limited to low dynamic range outputs. Recent diffusionbased approaches approximate HDR by generating multiple exposure-conditioned samples,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Pedram Fekri , WenChen Li , William Chen , Peter Altamirano

Object detection precision is crucial for ensuring the safety and efficacy of autonomous driving systems. The quality of acquired images directly influences the ability of autonomous driving systems to correctly recognize and respond to…

Computer Vision and Pattern Recognition · Computer Science 2025-04-17 Kebin Contreras , Brayan Monroy , Jorge Bacca

Background The accuracy of photomechanics measurements critically relies on image quality,particularly under extreme illumination conditions such as welding arc monitoring and polished metallic surface analysis. High dynamic range (HDR)…

Computer Vision and Pattern Recognition · Computer Science 2026-02-16 Banglei Guan , Jing Tao , Liang Xu , Dongcai Tan , Pengju Sun , Jianbing Liu , Yang Shang , Qifeng Yu

We present a technique to reduce the dynamic range of an HDRI lighting environment map in an efficient, energy-preserving manner by spreading out the light of concentrated light sources. This allows us to display a reasonable approximation…

Graphics · Computer Science 2022-06-22 Paul Debevec , Chloe LeGendre

An event camera detects per-pixel intensity difference and produces asynchronous event stream with low latency, high dynamic range, and low power consumption. As a trade-off, the event camera has low spatial resolution. We propose an…

Computer Vision and Pattern Recognition · Computer Science 2020-04-13 S. Mohammad Mostafavi I. , Jonghyun Choi , Kuk-Jin Yoon

Hyperspectral (HS) images contain detailed spectral information that has proven crucial in applications like remote sensing, surveillance, and astronomy. However, because of hardware limitations of HS cameras, the captured images have low…

Image and Video Processing · Electrical Eng. & Systems 2021-06-15 Marija Vella , Bowen Zhang , Wei Chen , João F. C. Mota

Recent generative methods for single-shot high dynamic range (HDR) image reconstruction show promising results, but often struggle with preserving fidelity to the input image. They require separate models to handle highlights and shadows,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Chinmay Talegaonkar , Jinshi He , Christopher McKenna , Nicholas Antipa

High dynamic range (HDR) image synthesis from multiple low dynamic range (LDR) exposures continues to be actively researched. The extension to HDR video synthesis is a topic of significant current interest due to potential cost benefits.…

Computer Vision and Pattern Recognition · Computer Science 2017-04-05 Yuelong Li , Chul Lee , Vishal Monga

High dynamic range (HDR) video reconstruction from sequences captured with alternating exposures is a very challenging problem. Existing methods often align low dynamic range (LDR) input sequence in the image space using optical flow, and…

Computer Vision and Pattern Recognition · Computer Science 2021-08-24 Guanying Chen , Chaofeng Chen , Shi Guo , Zhetong Liang , Kwan-Yee K. Wong , Lei Zhang

Image Super-Resolution (SR) provides a promising technique to enhance the image quality of low-resolution optical sensors, facilitating better-performing target detection and autonomous navigation in a wide range of robotics applications.…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Fan Wang , Jiangxin Yang , Yanlong Cao , Yanpeng Cao , Michael Ying Yang

High dynamic range (HDR) novel view synthesis (NVS) aims to reconstruct HDR scenes from multi-exposure low dynamic range (LDR) images. Existing HDR pipelines heavily rely on known camera poses, well-initialized dense point clouds, and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Dingqiang Ye , Jiacong Xu , Jianglu Ping , Yuxiang Guo , Chao Fan , Vishal M. Patel

This research paper introduces a synthetic hyperspectral dataset that combines high spectral and spatial resolution imaging to achieve a comprehensive, accurate, and detailed representation of observed scenes or objects. Obtaining such…

Computer Vision and Pattern Recognition · Computer Science 2023-09-04 Yajie Sun , Ali Zia , Jun Zhou

Due to limited camera capacities, digital images usually have a narrower dynamic illumination range than real-world scene radiance. To resolve this problem, High Dynamic Range (HDR) reconstruction is proposed to recover the dynamic range to…

Image and Video Processing · Electrical Eng. & Systems 2023-12-14 Jiaqi Tang , Xiaogang Xu , Sixing Hu , Ying-Cong Chen

Dynamic Range (DR) is a pivotal characteristic of imaging systems. Current frame-based cameras struggle to achieve high dynamic range imaging due to the conflict between globally uniform exposure and spatially variant scene illumination. In…

Image and Video Processing · Electrical Eng. & Systems 2024-03-15 Yuliang Wu , Ganchao Tan , Jinze Chen , Wei Zhai , Yang Cao , Zheng-Jun Zha

We describe a new method for comparing frame appearance in a frame-to-model 3-D mapping and tracking system using an low dynamic range (LDR) RGB-D camera which is robust to brightness changes caused by auto exposure. It is based on a…

Computer Vision and Pattern Recognition · Computer Science 2016-04-05 Shuda Li , Ankur Handa , Yang Zhang , Andrew Calway