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Yaning Feng
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2020 – today
- 2020
- [j6]Zhenghao Shi, Yaning Feng, Minghua Zhao, Erhu Zhang, Lifeng He:
Normalised gamma transformation-based contrast-limited adaptive histogram equalisation with colour correction for sand-dust image enhancement. IET Image Process. 14(4): 747-756 (2020) - [j5]Zhenghao Shi
, Yaning Feng, Minghua Zhao, Lifeng He:
A joint deep neural networks-based method for single nighttime rainy image enhancement. Neural Comput. Appl. 32(7): 1913-1926 (2020) - [i1]Zhaorun Zhou, Zhenghao Shi, Mingtao Guo, Yaning Feng, Minghua Zhao:
CGGAN: A Context Guided Generative Adversarial Network For Single Image Dehazing. CoRR abs/2005.13884 (2020)
2010 – 2019
- 2019
- [j4]Zhenghao Shi
, Yaning Feng, Minghua Zhao, Erhu Zhang, Lifeng He:
Let You See in Sand Dust Weather: A Method Based on Halo-Reduced Dark Channel Prior Dehazing for Sand-Dust Image Enhancement. IEEE Access 7: 116722-116733 (2019) - [j3]Zhenghao Shi
, Huan Hao, Minghua Zhao, Yaning Feng, Lifeng He, Yinghui Wang, Kenji Suzuki
:
A deep CNN based transfer learning method for false positive reduction. Multim. Tools Appl. 78(1): 1017-1033 (2019) - 2018
- [j2]Zhenghao Shi, Yaowei Li, Changqing Zhang, Minghua Zhao, Yaning Feng, Bo Jiang:
Weighted median guided filtering method for single image rain removal. EURASIP J. Image Video Process. 2018: 35 (2018) - [j1]Zhenghao Shi, Yaowei Li, Minghua Zhao, Yaning Feng, Lifeng He:
Multi-stage filtering for single rainy image enhancement. IET Image Process. 12(10): 1866-1872 (2018) - 2014
- [c3]Yaning Feng, Ling Zheng, Liying Song, Huilong Duan, Ning Deng:
Quantitative measurement of clinic-genomic association for colorectal cancer using literature mining and Google-distance algorithm. BMEI 2014: 734-739 - [c2]Liying Song, Fang Liu, Yaning Feng, Huilong Duan, Ning Deng:
A patient-centered tumor tissue information management system. BMEI 2014: 781-786
2000 – 2009
- 2005
- [c1]Zhenghao Shi
, Yaning Feng, Linhua Zhang, Shitan Huang:
Hopfield Neural Network Image Matching Based on Hausdorff Distance and Chaos Optimizing. ISNN (2) 2005: 848-853
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