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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 report a method for super-resolution of range images. Our approach leverages the interpretation of LR image as sparse samples on the HR grid. Based on this interpretation, we demonstrate that our recently reported approach, which…

Computer Vision and Pattern Recognition · Computer Science 2012-10-30 Arnav Bhavsar

Recent High Dynamic Range (HDR) techniques extend the capabilities of current cameras where scenes with a wide range of illumination can not be accurately captured with a single low-dynamic-range (LDR) image. This is generally accomplished…

Computer Vision and Pattern Recognition · Computer Science 2022-04-26 Michal Nazarczuk , Sibi Catley-Chandar , Ales Leonardis , Eduardo Pérez-Pellitero

Ghost imaging (GI) is a potential imaging technique that reconstructs the target scene from its correlated measurements with a sequential of patterns. Restricted by the multi-shot principle, GI usually requires long acquisition time and is…

Optics · Physics 2018-04-12 Chao Deng , Yuwang Wang , Jinli Suo , Zhili Zhang , Qionghai Dai

Stereoscopic spectral imaging is an observing technique that affords rapid acquisition of limited spectral information over an entire image plane simultaneously. Light from a telescope is dispersed into multiple spectral orders, which are…

Astrophysics · Physics 2007-05-23 Craig E. DeForest , Charles C. Kankelborg

In this paper, we firstly consider view-dependent effects into single image-based novel view synthesis (NVS) problems. For this, we propose to exploit the camera motion priors in NVS to model view-dependent appearance or effects (VDE) as…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Juan Luis Gonzalez Bello , Munchurl Kim

Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used for image correspondence tasks on natural images. In this paper, we examine the…

While the human eye can perceive an impressive twenty stops of dynamic range, smartphone camera sensors remain limited to about twelve stops despite decades of research. A variety of high dynamic range (HDR) image capture and processing…

Computer Vision and Pattern Recognition · Computer Science 2026-04-23 Baiang Li , Ruyu Yan , Ethan Tseng , Zhoutong Zhang , Adam Finkelstein , Jiawen Chen , Felix Heide

Haze can degrade the visibility and the image quality drastically, thus degrading the performance of computer vision tasks such as object detection. Single image dehazing is a challenging and ill-posed problem, despite being widely studied.…

Computer Vision and Pattern Recognition · Computer Science 2020-09-01 Zahra Anvari , Vassilis Athitsos

In this paper, we propose a deep snapshot high dynamic range (HDR) imaging framework that can effectively reconstruct an HDR image from the RAW data captured using a multi-exposure color filter array (ME-CFA), which consists of a mosaic…

Computer Vision and Pattern Recognition · Computer Science 2020-11-23 Takeru Suda , Masayuki Tanaka , Yusuke Monno , Masatoshi Okutomi

Model-based single image dehazing algorithms restore haze-free images with sharp edges and rich details for real-world hazy images at the expense of low PSNR and SSIM values for synthetic hazy images. Data-driven ones restore haze-free…

Computer Vision and Pattern Recognition · Computer Science 2022-10-12 Zhengguo Li , Chaobing Zheng , Haiyan Shu , Shiqian Wu

Single image dehazing is an ill-posed problem that has recently drawn important attention. Despite the significant increase in interest shown for dehazing over the past few years, the validation of the dehazing methods remains largely…

Computer Vision and Pattern Recognition · Computer Science 2019-04-08 Codruta O. Ancuti , Cosmin Ancuti , Mateu Sbert , Radu Timofte

One crucial aspect of 3D head avatar reconstruction lies in the details of facial expressions. Although recent NeRF-based photo-realistic 3D head avatar methods achieve high-quality avatar rendering, they still encounter challenges…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Minghan Qin , Yifan Liu , Yuelang Xu , Xiaochen Zhao , Yebin Liu , Haoqian Wang

Conventional RGB-based high dynamic range (HDR) imaging faces a fundamental trade-off between motion artifacts in multi-exposure captures and irreversible information loss in single-shot techniques. Modulo sensors offer a promising…

Computer Vision and Pattern Recognition · Computer Science 2026-04-17 Chu Zhou , Siqi Yang , Kailong Zhang , Heng Guo , Zhaofei Yu , Boxin Shi , Imari Sato

High-frequency demodulation of wide area optical signals in a snapshot manner is a technological challenge that, if solved, could open tremendous perspectives in 3D imaging, free-space communications, or even ballistic photon imaging in…

Instrumentation and Detectors · Physics 2020-02-19 Swapnesh Panigrahi , Julien Fade , Romain Agaisse , Hema Ramachandran , Mehdi Alouini

Model-based single image dehazing algorithms restore images with sharp edges and rich details at the expense of low PSNR values. Data-driven ones restore images with high PSNR values but with low contrast, and even some remaining haze. In…

Computer Vision and Pattern Recognition · Computer Science 2022-06-24 Zhengguo Li , Chaobing Zheng , Haiyan Shu , Shiqian Wu

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

High dynamic range (HDR) imaging aims to retrieve information from multiple low-dynamic range inputs to generate realistic output. The essence is to leverage the contextual information, including both dynamic and static semantics, for…

Computer Vision and Pattern Recognition · Computer Science 2023-09-29 Steven Tel , Zongwei Wu , Yulun Zhang , Barthélémy Heyrman , Cédric Demonceaux , Radu Timofte , Dominique Ginhac

Single-pixel imaging (SPI) is a novel optical imaging technique by replacing the pixelated sensor array in a conventional camera with a single-pixel detector. In previous works, SPI is usually used for capturing object images or performing…

Computer Vision and Pattern Recognition · Computer Science 2022-10-13 Wei Huang , Jiaxiang Li , Shuming Jiao , Zibang Zhang

For structured-light range imaging, color stripes can be used for increasing the number of distinguishable light patterns compared to binary BW stripes. Therefore, an appropriate use of color patterns can reduce the number of light…

Computer Vision and Pattern Recognition · Computer Science 2015-08-26 Changsoo Je , Sang Wook Lee , Rae-Hong Park