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Event-guided Deblurring of Unknown Exposure Time Videos [article]

Taewoo Kim, Jeongmin Lee, Lin Wang, Kuk-Jin Yoon
2022 arXiv   pre-print
In this paper, we address the event-guided motion deblurring assuming dynamically variable unknown exposure time of the frame-based camera.  ...  To this end, we first derive a new formulation for event-guided motion deblurring by considering the exposure and readout time in the video frame acquisition process.  ...  (I) We study and formulate an event-guided deblurring for unknown exposure time videos.  ... 
arXiv:2112.06988v3 fatcat:a7rhfykrg5ggrdoiguwjtgay7u

An Asynchronous Kalman Filter for Hybrid Event Cameras [article]

Ziwei Wang, Yonhon Ng, Cedric Scheerlinck, Robert Mahony
2021 arXiv   pre-print
In this paper, we present an event-based video reconstruction pipeline for High Dynamic Range (HDR) scenarios.  ...  The proposed algorithm includes a frame augmentation pre-processing step that deblurs and temporally interpolates frame data using events.  ...  An event guided HDR imaging pipeline was used to fuse frame and event information [12] . Continuous-time temporal filtering is an approach that exploits the near-continuous nature of events.  ... 
arXiv:2012.05590v3 fatcat:icmtvdsrkfeezp2djdmubwqboi

Dataset and Network Structure: Towards Frames Selection for Fast Video Deblurring

Abdelwahed Nahli, Shan Cao, Jia Zhiwei, Runze Ma, Shugong Xu
2021 IEEE Access  
We also present DeblurNet, a two phases training-based deep learning model for video deblurring, it consists of two main sub-modules; a Frame Selection Module and a Frame Deblurring Module.  ...  , as a novel video deblurring dataset to close the gap between naturally blurred and synthetically blurred video training data, and to address most shortcomings of the existing datasets.  ...  by 𝐵 𝑡 2 during a new exposure time interval.  ... 
doi:10.1109/access.2021.3074199 fatcat:jcqk6tkydnbkhcn6opgnpkjzja

Deep Image Deblurring: A Survey [article]

Kaihao Zhang, Wenqi Ren, Wenhan Luo, Wei-Sheng Lai, Bjorn Stenger, Ming-Hsuan Yang, Hongdong Li
2022 arXiv   pre-print
This paper presents a comprehensive and timely survey of recently published deep-learning based image deblurring approaches, aiming to serve the community as a useful literature review.  ...  Advances in deep learning have led to significant progress in solving this problem, and a large number of deblurring networks have been proposed.  ...  However, a longer exposure time may result in motion blur.  ... 
arXiv:2201.10700v2 fatcat:a3ckgjsgdrbufctsnneesmeyp4

Towards Interpretable Video Super-Resolution via Alternating Optimization [article]

Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool
2022 arXiv   pre-print
object/camera motions during exposure time; ii) motion aliasing is unavoidable when the event temporal frequency exceeds the Nyquist limit of temporal sampling; iii) high-frequency details are lost because  ...  These issues can be alleviated by a cascade of three separate sub-tasks, including video deblurring, frame interpolation, and super-resolution, which, however, would fail to capture the spatial and temporal  ...  This can be formulated as an integration of luminous intensity over the exposure time, during which the motion blur may occur if the object moves or the camera shakes.  ... 
arXiv:2207.10765v1 fatcat:bk4duca325a55kf7maqas4hady

UG^2: A Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition

Rosaura G. Vidal, Sreya Banerjee, Klemen Grm, Vitomir Struc, Walter J. Scheirer
2018 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)  
Over 160,000 annotated frames forhundreds of ImageNet classes are available, which are used for baseline experiments that assess the impact of known and unknown image artifacts and other conditions on  ...  videos taken on the ground.  ...  Adam Czajka, visiting assistant professor at the University of Notre Dame and Mr. Sebastian Kawa for assistance with data collection.  ... 
doi:10.1109/wacv.2018.00177 dblp:conf/wacv/VidalBGSS18 fatcat:whgwndjdorfx7mijj6t4nv7ugy

Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging

Zihao W. Wang, Peiqi Duan, Oliver Cossairt, Aggelos Katsaggelos, Tiejun Huang, Boxin Shi
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Our system consists of a traditional video camera which captures high-resolution intensity images, and an event camera which encodes high-speed motion as a stream of asynchronous binary events.  ...  The filtered output represents the temporal gradient of the captured space-time volume, which can be viewed as motion-compensated event frames with high resolution and low noise.  ...  GEF can be applied to improve eventbased motion deblur [30] . Given a blurry image (Fig. 10(a) ) and the events captured during the exposure time (Fig. 10(b )), Pan et al.  ... 
doi:10.1109/cvpr42600.2020.00168 dblp:conf/cvpr/WangDCKHS20 fatcat:gfqklwglajbknmrqctsmi5mwsy

All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey [article]

Yunfan Lu, Yiqi Lin, Hao Wu, Yunhao Luo, Xu Zheng, Lin Wang
2022 arXiv   pre-print
Therefore, this paper serves as the first study that provides a comprehensive overview of recent advancements of priors for deep image restoration and enhancement.  ...  Our work covers five primary contents: (1) A theoretical analysis of priors for deep image restoration and enhancement; (2) A hierarchical and structural taxonomy of priors commonly used in the DL-based  ...  (c) Merging the multi-exposure images in using optical flow in HDR imaging. (d) Constructing the temporal sharpness prior by optical flow in video deblurring. Fig. 7 . 7 Fig. 7.  ... 
arXiv:2206.02070v1 fatcat:icu7hwua3jggbp7owl2l5mgyfu

Table of contents

2020 IEEE Transactions on Image Processing  
Yang 2766 Deep Guided Learning for Fast Multi-Exposure Image Fusion ... K.Ma, Z. Duanmu, H. Zhu, Y. Fang, and Z.  ...  Shao 5121 Dynamic Scene Deblurring by Depth Guided Model .... L.Li, J. Pan, W.-S. Lai, C. Gao, N. Sang, and M.-H.  ... 
doi:10.1109/tip.2019.2940373 fatcat:i7hktzn4wrfz5dhq7hj75u6esa

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
Li, G., +, TIP 2020 4873-4884 Joint Coding of Local and Global Deep Features in Videos for Visual Search. Image Deblurring Utilizing Inertial Sensors and a Short-Long-Short Exposure Strategy.  ...  ., +, TIP 2020 8226-8237 Deep Guided Learning for Fast Multi-Exposure Image Fusion.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Computational Photography [article]

Ramesh Raskar, Jack Tumblin, Ankit Mohan, Amit Agrawal, Yuanzen Li
2006 Eurographics State of the Art Reports  
Unbounded dynamic range, variable focus, resolution, and depth of field, hints about shape, reflectance, and lighting, and new interactive forms of photos that are partly snapshots and partly videos are  ...  We provide a practical guide to topics in image capture and manipulation methods for generating compelling pictures for computer graphics and for extracting scene properties for computer vision, with several  ...  Bishop 1998] ), fusion of time-lapsed events [Raskar et al 2004] , the motion-microscope (motion magnification [Liu et al 2005] ), video textures and panoramas [Agarwala et al 2005] .  ... 
doi:10.2312/egst.20061051 fatcat:6ig2c522qve3bejhvvb4jemipu

Personal photo enhancement using example images

Neel Joshi, Wojciech Matusik, Edward H. Adelson, David J. Kriegman
2010 ACM Transactions on Graphics  
We illustrate the power and generality of our approach by presenting a novel deblurring algorithm, and we show corrections that perform sharpening, superresolution, in-painting of over-and underexposured  ...  These "personal" photos provide strong guidance for a number of operations and, as a result, enable a number of high-quality image processing operations.  ...  of time.  ... 
doi:10.1145/1731047.1731050 fatcat:zsgnry5n4bgjdmqvnfyjbauxzy

Deep Learning for HDR Imaging: State-of-the-Art and Future Trends [article]

Lin Wang, Kuk-Jin Yoon
2021 arXiv   pre-print
We hierarchically and structurally group existing deep HDR imaging methods into five categories based on (1) number/domain of input exposures, (2) number of learning tasks, (3) novel sensor data, (4) novel  ...  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.  ...  ACKNOWLEDGMENTS This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2018R1A2B3008640).  ... 
arXiv:2110.10394v3 fatcat:pvsktnd5wrgo5lstughzlhon7i

Computational Photography [article]

Ramesh Raskar, Jack Tumblin, Ankit Mohan, Amit Agrawal, Yuanzen Li
2007 Eurographics State of the Art Reports  
Unbounded dynamic range, variable focus, resolution, and depth of field, hints about shape, reflectance, and lighting, and new interactive forms of photos that are partly snapshots and partly videos are  ...  We provide a practical guide to topics in image capture and manipulation methods for generating compelling pictures for computer graphics and for extracting scene properties for computer vision, with several  ...  Bishop 1998] ), fusion of time-lapsed events [Raskar et al 2004] , the motion-microscope (motion magnification [Liu et al 2005] ), video textures and panoramas [Agarwala et al 2005] .  ... 
doi:10.2312/egt.20071066 fatcat:btr4b2hrszegnhrukfnwe7i7oe

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Jeon, S., +, TIP 2021 8773-Biological tissues 8784 3D-Guided Face Manipulation of 2D Images for the Prediction of Post-Op-Adaptive Streaming of 360 Videos With Perfect, Imperfect, and Unknown erative Outcome  ...  360 Videos With Perfect, Imperfect, and Unknown Bidirectional control Xu, Y., Du, B., and Zhang, L., Self-Attention Context Network: Addressing the Antenna arrays tion.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu
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