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This paper studies the challenging problem of fingerprint image denoising and inpainting.
K-svd: An algorithm for designing overcomplete dictionaries for sparse representation
Michal Aharon, Michael Elad, Alfred Bruckstein, et al · 2006
Earlier work this paper cites.
Fingerprint reconstruction method using partial differential equation and exemplar-based inpainting methods
Mark Rahmes, Josef DeVaughn Allen, Abdelmoula Elharti, and Gnana Bhaskar Tenali · 2007
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Image denoising by sparse 3-d transform-domain collaborative filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
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Non-local sparse models for image restoration
Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro, and Andrew Zisserman · 2009
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Image denoising and inpainting with deep neural networks
Junyuan Xie, Linli Xu, and Enhong Chen · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Detection of blotch and scratch in video based on video decomposition
Houqiang Li, Zhenbo Lu, Zhangyang Wang, Qing Ling, and Weiping Li · 2013
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Fingerprint denoising using ridge orientation based clustered dictionaries
Kuldeep Singh, Rajiv Kapoor, and Raunaq Nayar · 2015
Cited alongside, same era.
Learning super-resolution jointly from external and internal examples
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, and Thomas S Huang · 2015
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Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun · 2015
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D3: Deep dual-domain based fast restoration of jpeg-compressed images
Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, and Thomas S Huang · 2016
Cited alongside, same era.
Studying very low resolution recognition using deep networks
Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, and Thomas S Huang · 2016
Cited alongside, same era.
Robust video super-resolution with learned temporal dynamics
Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, and Thomas Huang · 2017
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Enhance visual recognition under adverse conditions via deep networks
Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, and Thomas S Huang · 2017
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When image denoising meets high-level vision tasks: A deep learning approach
Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, and Thomas S Huang · 2017
Later among the works it cites.
Loss functions for image restoration with neural networks
Hang Zhao, Orazio Gallo, Iuri Frosio, and Jan Kautz · 2017
Later among the works it cites.
Robust minutiae extractor: Integrating deep networks and fingerprint domain knowledge
Dinh-Luan Nguyen, Kai Cao, and Anil K Jain · 2018
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Yao Tang, Fei Gao, Jufu Feng, and Yuhang Liu · 2017
Cited alongside, same era.
Minutia-based enhancement of fingerprint samples
Patrick Schuch, Simon Schulz, and Christoph Busch · 2017
Cited alongside, same era.
Improved techniques for learning to dehaze and beyond: A collective study
Yu Liu, Guanlong Zhao, Boyuan Gong, Yang Li, Ritu Raj, Niraj Goel, Satya Kesav, Sandeep Gottimukkala, Zhangyang Wang, Wenqi Ren, et al · 2018
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