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A Global-Local Blur Disentangling Network for Dynamic Scene Deblurring

Xiaoguang Li, Feifan Yang, Jianglu Huang, Li Zhuo
2021 Applied Sciences  
The visualized feature maps of different branches indicated that our dual-branch network can decouple the global and local blur features efficiently.  ...  Experimental results show that the proposed dual-branch blur disentangling network can improve both the subjective and objective deblurring effects for real captured images.  ...  Related Work Image Deblurring for Dynamic Scene Complex non-uniform blur results from camera shaking, object motion, varying in depth, and defocus, which make it a daunting task in computer vision.  ... 
doi:10.3390/app11052174 doaj:713be03e804246adaa667bfb09bed897 fatcat:cq4bwlqgerazzkb5cd57t76hre

Neural Camera Simulators [article]

Hao Ouyang, Zifan Shi, Chenyang Lei, Ka Lung Law, Qifeng Chen
2021 arXiv   pre-print
It also contains a noise module using the noise level function and an aperture module with adaptive attention to simulate the side effects on noise and defocus blur.  ...  Our work represents the first attempt to simulate a camera sensor's behavior leveraging both the advantage of traditional raw sensor features and the power of data-driven deep learning.  ...  Other methods [9, 12] first learn to segment the foreground objects segmentation and followed by re-blurring. Defocus magnification is also as-sociated with depth estimation.  ... 
arXiv:2104.05237v2 fatcat:xpkvi4cpfze4xjdsgsmbxz35ye

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.  ...  Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIP 2021 5377-5390 Defocus Blur Detection via Boosting Diversity of Deep Ensemble Networks. Zhao, W., +, TIP 2021 5426-5438 Delving Deep Into Label Smoothing.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

High-resolution transport-of-intensity quantitative phase microscopy with annular illumination

Chao Zuo, Jiasong Sun, Jiaji Li, Jialin Zhang, Anand Asundi, Qian Chen
2017 Scientific Reports  
Time-lapse imaging of in vitro Hela cells revealing cellular morphology and subcellular dynamics during cells mitosis and apoptosis is exemplified.  ...  For quantitative phase imaging (QPI) based on transport-of-intensity equation (TIE) , partially coherent illumination provides speckle-free imaging, compatibility with brightfield microscopy, and transverse  ...  Such acquisition speed allows subcellular dynamics of Hela cell, such as moving vesicles, and shrinking lamellipodium being clearly observed without any motion-induced blurring or artifacts.  ... 
doi:10.1038/s41598-017-06837-1 pmid:28794472 pmcid:PMC5550517 fatcat:zzgltaxznfa63l4s5vcjfmgxvm

High-resolution transport-of-intensity quantitative phase microscopy with annular illumination [article]

Chao Zuo, Jiasong Sun, Jiaji Li, Jialin Zhang, Anand Asundi, Qian Chen
2017 arXiv   pre-print
Time-lapse imaging of in vitro Hela cells revealing cellular morphology and subcellular dynamics during cells mitosis and apoptosis is exemplified.  ...  For quantitative phase imaging (QPI) based on transport-of-intensity equation (TIE), partially coherent illumination provides speckle-free imaging, compatibility with brightfield microscopy, and transverse  ...  Such acquisition speed allows subcellular dynamics of Hela cell, such as moving vesicles, and shrinking lamellipodium being clearly observed without any motion-induced blurring or artifacts.  ... 
arXiv:1704.04091v3 fatcat:k77fx662dnbcpfsdt3m6kskdge

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Nikolaus Mayer, Eddy Ilg, Philip Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Besides the datasets, we present a convolutional network for real-time disparity estimation that provides state-of-the-art results.  ...  The present paper extends the concept of optical flow estimation via convolutional networks to disparity and scene flow estimation.  ...  Acknowledgements The work was partially funded by the ERC Starting Grant VideoLearn, the ERC Consolidator Grant 3D Reloaded, and by the DFG Grants BR 3815/7-1 and CR 250/13-1.  ... 
doi:10.1109/cvpr.2016.438 dblp:conf/cvpr/MayerIHFCDB16 fatcat:okgccilwlbf2pd2phi4ltsbiry

Motion Blur Rendering: State of the Art

Fernando Navarro, Francisco J. Serón, Diego Gutierrez
2011 Computer graphics forum (Print)  
Motion blur is a fundamental cue in the perception of objects in motion.  ...  This phenomenon manifests as a visible trail along the trajectory of the object and is the result of the combination of relative motion and light integration taking place in film and electronic cameras  ...  Acknowledgments The authors would like to express their gratitude to Matthew Jaques, Adonis Stevenson and the anonymous reviewers for their careful revisions and helpful suggestions. The images in  ... 
doi:10.1111/j.1467-8659.2010.01840.x fatcat:or42rm6pqbhbhfj75ki7dv5l2y

Light sheet adaptive optics microscope for 3D live imaging

C. Bourgenot, J. M. Taylor, C. D. Saunter, J. M. Girkin, G. D. Love, Carol J. Cogswell, Thomas G. Brown, Jose-Angel Conchello, Tony Wilson
2013 Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XX  
The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes  ...  with the development of novel techniques such as CARS, PALM, STORM, STED and SPIM.  ...  correction of live, beating zebrafish heart images, using heart synchronisation to decouple sample motion from aberrations.  ... 
doi:10.1117/12.2002057 fatcat:zao646tyczf4tp4f4pwnvs6s6i

Image Reconstruction of Static and Dynamic Scenes through Anisoplanatic Turbulence [article]

Zhiyuan Mao, Nicholas Chimitt, Stanley Chan
2020 arXiv   pre-print
In this paper, we present a unified method for atmospheric turbulence mitigation in both static and dynamic sequences.  ...  While methods exist for removing such turbulent distortions, many are limited to static sequences which cannot be extended to dynamic scenes.  ...  The PSF of a simulated turbulence is illustrated in Figure 2 , where we emphasize the decoupling of the tilt and the blur. Long and short exposures. There are two important observations of H φ atm .  ... 
arXiv:2009.00071v1 fatcat:nwwhjpw4dbb6te3ydfnonykzda

Lens-based wavefront sensorless adaptive optics swept source OCT

Yifan Jian, Sujin Lee, Myeong Jin Ju, Morgan Heisler, Weiguang Ding, Robert J. Zawadzki, Stefano Bonora, Marinko V. Sarunic
2016 Scientific Reports  
We utilized a commercially available variable focal length lens to correct for a wide range of defocus commonly found in patient's eyes, and a novel multi-actuator adaptive lens for aberration correction  ...  in blurring the focal spot.  ...  Acknowledgements The authors would like to acknowledge funding support from the Canadian Institutes of Health  ... 
doi:10.1038/srep27620 pmid:27278853 pmcid:PMC4899788 fatcat:dq6a7wcfbzhopgkmviu5hzokvy

Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision

N. V. Kartheek Medathati, Heiko Neumann, Guillaume S. Masson, Pierre Kornprobst
2016 Computer Vision and Image Understanding  
vision tasks from a biological per spective: image sensing, segmentation and optical flow.  ...  To this extent, this paper provides new insights and a starting point for investigators interested in the design of biology-based computer vision algorithms and pave a way for much needed interaction between  ...  GS M is supported by the European Union (Brainscales, FP7-FET-2010-269921), the french ANR (SPEED, ANR-13-SHS2-0 0 06 ) and CNRS.  ... 
doi:10.1016/j.cviu.2016.04.009 fatcat:lad5bwlqgbb5nhgtnxj6d32mc4

Review on data analysis methods for mesoscale neural imaging in vivo

Yeyi Cai, Jiamin Wu, Qionghai Dai
2022 Neurophotonics  
The first stage focuses on extracting high-fidelity neural responses at single-cell level from raw images, including motion registration, image denoising, neuron segmentation, and signal extraction.  ...  Meanwhile, optical detection of neuron signals is easily contaminated by noises, background, crosstalk, and motion artifacts, while neural-level signal processing and network-level coordinate are extremely  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China (Grant Nos.  ... 
doi:10.1117/1.nph.9.4.041407 pmid:35450225 pmcid:PMC9010663 fatcat:yalq65vasrgzbf3gwweu5vkrcu

Simultaneous imaging of neural activity in three dimensions

Sean Quirin, Jesse Jackson, Darcy S. Peterka, Rafael Yuste
2014 Frontiers in Neural Circuits  
Using a spatial light modulator and a custom-designed phase mask, we illuminate and collect light simultaneously from different focal planes and perform calcium imaging of neuronal activity in vitro and  ...  This method, combining structured illumination with volume projection imaging, could be used as a technological platform for brain activity mapping.  ...  Army Research Laboratory and the U.S. Army Research Office under contract number W911NF-12-1-0594. The authors thank Misha Ahrens and Davis Bennett for assistance with the zebrafish preparations.  ... 
doi:10.3389/fncir.2014.00029 pmid:24772066 pmcid:PMC3982072 fatcat:n74blmyrlbbxhhh4yvtnc5pg24

High-quality curve rendering using line sampled visibility

Rasmus Barringer, Carl Johan Gribel, Tomas Akenine-Möller
2012 ACM Transactions on Graphics  
Computer generated imagery is vital to the entertainment industry in the production of games and films, for example.  ...  Improvements to rendering techniques come from a combination of improved algorithms and more powerful hardware.  ...  Thanks to Jim Nilsson, Ingo Wald, and Sven Woop for ray tracing discussions and proofreading, and in particular, thanks to Carsten Benthin and Jacob Munkberg for lots of help.  ... 
doi:10.1145/2366145.2366181 fatcat:umfjcyurdjdazcmgzq6rn62hmu

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
Deng, YiPeng; Liu, Qin; Ikenaga, Takeshi 2475 Selective Kernel and Motion-Emphasized Loss Based Attention- Guided Network for HDR Imaging of Dynamic Scenes DAY 2 -Jan 13, 2021 Xu, Rui; Cao,  ...  Multiple Objects DAY 1 -Jan 12, 2021 Arrigoni, Federica; Magri, Luca; Pajdla, Tomas 893 Motion Segmentation with Pairwise Matches and Unknown Number of Motions DAY 1 -Jan 12, 2021 Lourakis  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm
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