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Due to hardware constraints, standard off-the-shelf digital cameras suffers from low dynamic range (LDR) and low frame per second (FPS) outputs. Previous works in high dynamic range (HDR) video reconstruction uses sequence of alternating…

Image and Video Processing · Electrical Eng. & Systems 2022-10-11 Zeeshan Khan , Parth Shettiwar , Mukul Khanna , Shanmuganathan Raman

Achieving robust stereo 3D imaging under diverse illumination conditions is an important however challenging task, due to the limited dynamic ranges (DRs) of cameras, which are significantly smaller than real world DR. As a result, the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Juhyung Choi , Jinnyeong Kim , Seokjun Choi , Jinwoo Lee , Samuel Brucker , Mario Bijelic , Felix Heide , Seung-Hwan Baek

We present a learning-based method to infer plausible high dynamic range (HDR), omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a mobile phone camera with a limited field of view (FOV). For training…

Computer Vision and Pattern Recognition · Computer Science 2019-04-03 Chloe LeGendre , Wan-Chun Ma , Graham Fyffe , John Flynn , Laurent Charbonnel , Jay Busch , Paul Debevec

Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR) input image is challenging due to missing details in under-/over-exposed regions caused by quantization and saturation of camera sensors. In contrast to…

Image and Video Processing · Electrical Eng. & Systems 2020-04-03 Yu-Lun Liu , Wei-Sheng Lai , Yu-Sheng Chen , Yi-Lung Kao , Ming-Hsuan Yang , Yung-Yu Chuang , Jia-Bin Huang

Neural Radiances Fields (NeRF) and their extensions have shown great success in representing 3D scenes and synthesizing novel-view images. However, most NeRF methods take in low-dynamic-range (LDR) images, which may lose details, especially…

Computer Vision and Pattern Recognition · Computer Science 2024-01-12 Guanjun Wu , Taoran Yi , Jiemin Fang , Wenyu Liu , Xinggang Wang

Augmented Reality is a topic of foremost interest nowadays. Its main goal is to seamlessly blend virtual content in real-world scenes. Due to the lack of computational power in mobile devices, rendering a virtual object with high-quality,…

Computer Vision and Pattern Recognition · Computer Science 2018-09-24 Rafael Monroy , Matis Hudon , Aljosa Smolic

High dynamic range (HDR) video rendering from low dynamic range (LDR) videos where frames are of alternate exposure encounters significant challenges, due to the exposure change and absence at each time stamp. The exposure change and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Jiahao Cui , Wei Jiang , Zhan Peng , Zhiyu Pan , Zhiguo Cao

Pixel detectors only record signals above a tuned threshold in order to suppress noise. As sensors become thinner, pitches decrease, and radiation damage reduces the collected charge, it is increasingly desirable to lower thresholds. By…

Instrumentation and Detectors · Physics 2019-10-02 Benjamin Nachman , Alex Spies

We seek to reconstruct sharp and noise-free high-dynamic range (HDR) video from a dual-exposure sensor that records different low-dynamic range (LDR) information in different pixel columns: Odd columns provide low-exposure, sharp, but noisy…

Image and Video Processing · Electrical Eng. & Systems 2021-04-14 Uğur Çoğalan , Mojtaba Bemana , Karol Myszkowski , Hans-Peter Seidel , Tobias Ritschel

High Dynamic Range (HDR) imaging is gaining increased attention due to its realistic content, for not only regular displays but also smartphones. Before sufficient HDR content is distributed, HDR visualization still relies mostly on…

Computer Vision and Pattern Recognition · Computer Science 2020-01-22 Subhayan Mukherjee , Guan-Ming Su , Irene Cheng

Specular reflection exists widely in photography and causes the recorded color deviating from its true value, so fast and high quality highlight removal from a single nature image is of great importance. In spite of the progress in the past…

Computer Vision and Pattern Recognition · Computer Science 2015-12-02 Dongsheng An , Jinli Suo , Xiangyang Ji , Haoqian Wang , Qionghai Dai

Recent years have witnessed substantial advancements in the field of 3D reconstruction from 2D images, particularly following the introduction of the neural radiance field (NeRF) technique. However, reconstructing a 3D high dynamic range…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Jiahao Wu , Lu Xiao , Rui Peng , Kaiqiang Xiong , Ronggang Wang

Rendering diffuse global illumination in real-time is often approximated by pre-computing and storing irradiance in a 3D grid of probes. As long as most of the scene remains static, probes approximate irradiance for all surfaces immersed in…

Ultra-high dynamic range (UHDR) scenes exhibit significant exposure disparities between bright and dark regions. Such conditions are commonly encountered in nighttime scenes with light sources. Even with standard exposure settings, a…

Computer Vision and Pattern Recognition · Computer Science 2025-10-10 Yuang Meng , Xin Jin , Lina Lei , Chun-Le Guo , Chongyi Li

Recent illumination estimation methods have focused on enhancing the resolution and improving the quality and diversity of the generated textures. However, few have explored tailoring the neural network architecture to the Equirectangular…

Computer Vision and Pattern Recognition · Computer Science 2024-10-18 Jack Hilliard , Adrian Hilton , Jean-Yves Guillemaut

We present a new lighting estimation and editing framework to generate high-dynamic-range (HDR) indoor panorama lighting from a single limited field-of-view (LFOV) image captured by low-dynamic-range (LDR) cameras. Existing lighting…

Computer Vision and Pattern Recognition · Computer Science 2022-08-01 Guangcong Wang , Yinuo Yang , Chen Change Loy , Ziwei Liu

Accurately capturing dynamic scenes with wide-ranging motion and light intensity is crucial for many vision applications. However, acquiring high-speed high dynamic range (HDR) video is challenging because the camera's frame rate restricts…

Image and Video Processing · Electrical Eng. & Systems 2024-04-26 Caixin Wang , Jie Zhang , Matthew A. Wilson , Ralph Etienne-Cummings

A 3D digital scene contains many components: lights, materials and geometries, interacting to reach the desired appearance. Staging such a scene is time-consuming and requires both artistic and technical skills. In this work, we propose…

Computer Vision and Pattern Recognition · Computer Science 2023-07-10 Kai Yan , Fujun Luan , MiloŠ HaŠAn , Thibault Groueix , Valentin Deschaintre , Shuang Zhao

High-Dynamic-Range Wide-Color-Gamut (HDR-WCG) technology is becoming increasingly widespread, driving a growing need for converting Standard Dynamic Range (SDR) content to HDR. Existing methods primarily rely on fixed tone mapping…

Computer Vision and Pattern Recognition · Computer Science 2026-05-18 Li Xu , Siqi Wang , Kepeng Xu , Gang He , Lin Zhang , Weiran Wang , Yu-Wing Tai

A low-light image enhancement is a highly demanded image processing technique, especially for consumer digital cameras and cameras on mobile phones. In this paper, a gradient-based low-light image enhancement algorithm is proposed. The key…

Computer Vision and Pattern Recognition · Computer Science 2018-09-26 Masayuki Tanaka , Takashi Shibata , Masatoshi Okutomi
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