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DSLR cameras can achieve multiple zoom levels via shifting lens distances or swapping lens types. However, these techniques are not possible on smartphone devices due to space constraints. Most smartphone manufacturers adopt a hybrid zoom…

Computer Vision and Pattern Recognition · Computer Science 2024-01-04 Xiaotong Wu , Wei-Sheng Lai , YiChang Shih , Charles Herrmann , Michael Krainin , Deqing Sun , Chia-Kai Liang

Photo-realistic novel view synthesis from multi-view images, such as neural radiance field (NeRF) and 3D Gaussian Splatting (3DGS), has gained significant attention for its superior performance. However, most existing methods rely on low…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Shucheng Gong , Lingzhe Zhao , Wenpu Li , Hong Xie , Yin Zhang , Shiyu Zhao , Peidong Liu

Thanks to High Dynamic Range (HDR) imaging methods, the scope of photography has seen profound changes recently. To be more specific, such methods try to reconstruct the lost luminosity of the real world caused by the limitation of regular…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Ali Reza Omrani , Davide Moroni

High-dynamic range imaging permits to extend the dynamic range of intensity values to get close to what the human eye is able to perceive. Although there has been a huge progress in the digital camera sensor range capacity, the need of…

Computer Vision and Pattern Recognition · Computer Science 2019-05-21 Jennifer Bonnard , Gilles Valette , Céline Loscos

We present a dataset of 1000 video sequences of human portraits recorded in real and uncontrolled conditions by using a handheld smartphone accompanied by an external high-quality depth camera. The collected dataset contains 200 people…

Computer Vision and Pattern Recognition · Computer Science 2022-04-22 Anastasiia Kornilova , Marsel Faizullin , Konstantin Pakulev , Andrey Sadkov , Denis Kukushkin , Azat Akhmetyanov , Timur Akhtyamov , Hekmat Taherinejad , Gonzalo Ferrer

In this lecture note, we describe high dynamic range (HDR) imaging systems; such systems are able to represent luminances of much larger brightness and, typically, also a larger range of colors than conventional standard dynamic range (SDR)…

Graphics · Computer Science 2017-12-01 Alessandro Artusi , Thomas Richter , Touradj Ebrahimi , Rafal K. Mantiuk

As demand for advanced photographic applications on hand-held devices grows, these electronics require the capture of high quality depth. However, under low-light conditions, most devices still suffer from low imaging quality and inaccurate…

Computer Vision and Pattern Recognition · Computer Science 2018-03-22 Sunghoon Im , Hae-Gon Jeon , In So Kweon

High dynamic range (HDR) imaging aims to obtain a high-quality HDR image by fusing information from multiple low dynamic range (LDR) images. Numerous learning-based HDR imaging methods have been proposed to achieve this for static and…

Image and Video Processing · Electrical Eng. & Systems 2025-05-30 Yu Yuan , Yiheng Chi , Xingguang Zhang , Stanley Chan

High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range of exposures, which is important in image processing, computer graphics, and computer vision. In recent years, there has been a significant advancement…

Image and Video Processing · Electrical Eng. & Systems 2021-11-12 Lin Wang , Kuk-Jin Yoon

Reconstruction of high-quality HDR images is at the core of modern computational photography. Significant progress has been made with multi-frame HDR reconstruction methods, producing high-resolution, rich and accurate color reconstructions…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Richard Shaw , Sibi Catley-Chandar , Ales Leonardis , Eduardo Perez-Pellitero

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

High dynamic range (HDR) imaging is an important task in image processing that aims to generate well-exposed images in scenes with varying illumination. Although existing multi-exposure fusion methods have achieved impressive results,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Jun Xiao , Qian Ye , Tianshan Liu , Cong Zhang , Kin-Man Lam

Smartphone cameras have become ubiquitous imaging tools, yet their small sensors and compact optics often limit spatial resolution and introduce distortions. Combining information from multiple low-resolution (LR) frames to produce a…

Computer Vision and Pattern Recognition · Computer Science 2025-05-02 Fadeel Sher Khan , Joshua Ebenezer , Hamid Sheikh , Seok-Jun Lee

Event cameras are innovative neuromorphic sensors that asynchronously capture the scene dynamics. Due to the event-triggering mechanism, such cameras record event streams with much shorter response latency and higher intensity sensitivity…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Yunhao Zou , Ying Fu , Tsuyoshi Takatani , Yinqiang Zheng

In this paper, we derive a new differential homography that can account for the scanline-varying camera poses in Rolling Shutter (RS) cameras, and demonstrate its application to carry out RS-aware image stitching and rectification at one…

Computer Vision and Pattern Recognition · Computer Science 2020-08-24 Bingbing Zhuang , Quoc-Huy Tran

We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video. While camera rotation estimation is a well-studied problem, no previous methods exhibit both high accuracy and acceptable…

Computer Vision and Pattern Recognition · Computer Science 2023-09-18 Fabien Delattre , David Dirnfeld , Phat Nguyen , Stephen Scarano , Michael J. Jones , Pedro Miraldo , Erik Learned-Miller

High dynamic range imaging (HDRI) for real-world dynamic scenes is challenging because moving objects may lead to hybrid degradation of low dynamic range and motion blur. Existing event-based approaches only focus on a separate task, while…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Li Xiaopeng , Zeng Zhaoyuan , Fan Cien , Zhao Chen , Deng Lei , Yu Lei

Mobile cameras, despite their significant advancements, still have difficulty in low-light imaging due to compact sensors and lenses, leading to longer exposures and motion blur. Traditional blind deconvolution methods and learning-based…

Computer Vision and Pattern Recognition · Computer Science 2024-07-26 Jaesung Rim , Junyong Lee , Heemin Yang , Sunghyun Cho

High dynamic range (HDR) images capture much more intensity levels than standard ones. Current methods predominantly generate HDR images from 8-bit low dynamic range (LDR) sRGB images that have been degraded by the camera processing…

Image and Video Processing · Electrical Eng. & Systems 2023-09-06 Yunhao Zou , Chenggang Yan , Ying Fu

Outdoor lighting has extremely high dynamic range. This makes the process of capturing outdoor environment maps notoriously challenging since special equipment must be used. In this work, we propose an alternative approach. We first capture…

Computer Vision and Pattern Recognition · Computer Science 2017-11-08 Jinsong Zhang , Jean-François Lalonde