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NTIRE 2020 Challenge on Image and Video Deblurring [article]

Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee
2020 arXiv   pre-print
Track 1 aims to develop single-image deblurring methods focusing on restoration quality.  ...  The winning methods demonstrate the state-ofthe-art performance on image and video deblurring tasks.  ...  ., DisneyResearch|Studios, and ETH Zurich (Computer Vision Lab).  ... 
arXiv:2005.01244v2 fatcat:aoy3tyxlybefrd7yd5ywvr6jh4

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 5396-5407 Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition.  ...  Wang, Q., +, TIP 2020 7549-7564 Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Gated Fusion Network for Degraded Image Super Resolution [article]

Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang
2020 arXiv   pre-print
Those features are then fused through a recursive gate module to obtain sharp features for super resolution.  ...  the final high-resolution prediction results.  ...  Introduction Single image super resolution (SISR) aims to restore a high-resolution (HR) image from a low-resolution (LR) one, such as those captured from surveillance and mobile cameras.  ... 
arXiv:2003.00893v2 fatcat:wslyimhivzh6pphadcmuxuuzsm

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
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.  ...  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.  ...  ., +, TIP 2021 4773-4787 Feedforward neural networks Multi-Stage Feature Fusion Network for Video Super-Resolution.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Semantic information supplementary pyramid network for dynamic scene deblurring

Yiming Liu, Yifei Luo, Wenzhuo Huang, Ying Qiao, Junhui Li, Dahong Xu, Duqiang Luo
2020 IEEE Access  
In addition, SIS-net uses the intermediate layer path to extract image features in a single time to obtain a multi-scale effect.  ...  The running speed of SIS-net has obvious advantages over other algorithms, and can basically complete real-time deblurring tasks.  ...  With the advancement of image acquisition methods, the demand for various visual tasks will gradually increase at the video level. Video-based deblurring technology is also imminent.  ... 
doi:10.1109/access.2020.3028157 fatcat:ktwsy42adrcplkeg6rridacqji

Table of Contents

2021 2021 IEEE International Conference on Image Processing (ICIP)  
NETWORK FOR SINGLE ...................................................... 1789 IMAGE SUPER RESOLUTION Kazuhiro Yamawaki, Xian-Hua Han, Yamaguchi University, Japan TEC-4.3: SINGLE IMAGE SUPER-RESOLUTION  ...  TEC- 2 . 2 12: BLIND IMAGE DEBLURRING BASED ON DUAL ATTENTION NETWORK ............................................ 1729 AND 2D BLUR KERNEL ESTIMATION Senmao Tian, Shunli Zhang, Beibei Lin, Beijing Jiaotong  ... 
doi:10.1109/icip42928.2021.9506758 fatcat:5g2bwdt2efafjd2mubhxyv4m4y

Table of contents

2020 IEEE Transactions on Image Processing  
Huang 4461 Learning a Deep Dual Attention Network for Video Super-Resolution ...................... F. Li, H. Bai, and Y.  ...  Fu, and L. Ren 1654 Receptive Field Size Versus Model Depth for Single Image Super-Resolution ....... R. Wang, M. Gong, and D.  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

Multi-frame Blind Restoration for Image of Space Target with FRC and Branch-attention

Peijian Zhu, Chunzhi Xie, Zhisheng Gao
2020 IEEE Access  
[79] proposed a dual attention mechanism to dynamically aggregate temporal cues for deblurring with an end-to-end trainable network structure.  ...  Stack(4)-DMPHN [43] is a single-frame method using a deep stacked hierarchical multi-patch network for image deblurring.  ... 
doi:10.1109/access.2020.3029356 fatcat:p3xgy5tqhzb2hi6pqzuezvnz4a

NTIRE 2020 Challenge on Image Demoireing: Methods and Results [article]

Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu (+34 others)
2020 arXiv   pre-print
The tracks had 142 and 99 registered participants, respectively, with a total of 14 and 6 submissions in the final testing stage.  ...  Track 1 targeted the single image demoireing problem, which seeks to remove moire patterns from a single image.  ...  Acknowledgements We thank the NTIRE 2020 sponsors: Huawei, OPPO, Voyage81, MediaTek, DisneyResearch|Studios, and Computer Vision Lab (CVL) ETH Zurich.  ... 
arXiv:2005.03155v1 fatcat:7cob4jufzbawfafcimgtoitdk4

Joint image dehazing and super-resolution: closed shared source residual attention fusion network

Zhuoyuan Yang, Da Pan, Ping Shi
2021 IEEE Access  
To generate sharp high-resolution images from low-resolution images with severe haze, a common way is to connect the dehazing network and the super-resolution network in series.  ...  Specifically, a shared source attention fusion (SAF) module is presented to fuse high-frequency information of different level features using shared source skip connections more effectively, which filters  ...  GFN [57] utilized dual branches to extract deblurred and base features separately and then the extracted features are fused through a recursive gate module.  ... 
doi:10.1109/access.2021.3100328 fatcat:vog3icotnrfe7dbw5zj3n7fjua

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results [article]

Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han (+64 others)
2020 arXiv   pre-print
The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications.  ...  They gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.  ...  spatially-precise feature representations, (b) information exchange across multi-resolution streams, (c) attention-based aggregation of features arriving from multiple streams, and (d) dual-attention  ... 
arXiv:2009.12072v1 fatcat:7cwsjfhqa5cf7avfvdabpmxrda

2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30

2020 IEEE transactions on circuits and systems for video technology (Print)  
., TCSVT Jan. 2020 217-231 Hu, X., see Zhu, L., TCSVT Oct. 2020 3358-3371 Hu, Y., Lu, M., Xie, C., and Lu, X  ...  ., and Zeng, B., MUcast: Linear Uncoded Multiuser TCSVT Nov. 2020 4299-4308 Hu, R., see Chen, L., TCSVT Dec. 2020 4513-4525 Hu, R., see Wang, X., TCSVT Nov. 2020 4309-4320 Hu, X., see Zhang, X  ...  ., +, TCSVT June 2020 1559-1568 Channel-Wise and Spatial Feature Modulation Network for Single Image Super-Resolution.  ... 
doi:10.1109/tcsvt.2020.3043861 fatcat:s6z4wzp45vfflphgfcxh6x7npu

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

Lin Wang, Kuk-Jin Yoon
2021 arXiv   pre-print
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.  ...  This study conducts a comprehensive and insightful survey and analysis of recent developments in deep HDR imaging methodologies.  ...  As such, low-level features are guided by high-level features in multiple iterations, leading to better reconstruction with few parameters.  ... 
arXiv:2110.10394v3 fatcat:pvsktnd5wrgo5lstughzlhon7i

Video Super Resolution Based on Deep Learning: A Comprehensive Survey [article]

Hongying Liu, Zhubo Ruan, Peng Zhao, Chao Dong, Fanhua Shang, Yuanyuan Liu, Linlin Yang, Radu Timofte
2022 arXiv   pre-print
It is well known that the leverage of information within video frames is important for video super-resolution.  ...  In recent years, deep learning has made great progress in many fields such as image recognition, natural language processing, speech recognition and video super-resolution.  ...  Acknowledgment We thank all the reviewers for their valuable comments. We would like to thank Mr. Zekun Li (Master student at School of Artificial Intelligence in Xidian University) and Dr.  ... 
arXiv:2007.12928v3 fatcat:nxoejcfdnzas3jznbqsale36ty

Implicit Subspace Prior Learning for Dual-Blind Face Restoration [article]

Lingbo Yang, Pan Wang, Zhanning Gao, Shanshe Wang, Peiran Ren, Siwei Ma, Wen Gao
2020 arXiv   pre-print
the ill-defined restoration mapping and 2) a subspace prior decomposition and fusion mechanism to dynamically handle inputs at varying degradation levels with consistent high-quality restoration results  ...  In this paper, we study the problem of face restoration under a more practical "dual blind" setting, i.e., without prior assumptions or hand-crafted regularization terms on the degradation profile or image  ...  For sparse prior, the U-net variant with multi-stage prior fusion works better than its single-stage counterpart ISP-Y0, and the pixel-adaptive embedding further improves the feature discrimination ability  ... 
arXiv:2010.05508v1 fatcat:qub5wf33obdkti2uqm7w7fyx3e
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