Dr. Rongxin Jiang Profile

Dr. Rongxin Jiang

at Zhejiang Univ

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Author

Publications (9)

SPIE Journal Paper | 16 April 2021

Dilated kernel prediction network for single-image denoising

Caiyang Xie, Xiang Tian, Rongxin Jiang, Yaowu Chen

JEI, Vol. 30, Issue 02, 023021, (April 2021) https://doi.org/10.1117/12.10.1117/1.JEI.30.2.023021

KEYWORDS: Denoising, Convolution, Image fusion, Image compression, Performance modeling, Image filtering, Feature extraction, Visualization, Image visualization, Image segmentation

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SPIE Journal Paper | 10 August 2020

Multinoise-type blind denoising using a single uniform deep convolutional neural network

Caiyang Xie, Yaowu Chen, Rongxin Jiang, Shengyu Li

JEI, Vol. 29, Issue 04, 043020, (August 2020) https://doi.org/10.1117/12.10.1117/1.JEI.29.4.043020

KEYWORDS: Denoising, Convolutional neural networks, Performance modeling, Network architectures, Interference (communication), Data modeling, Visualization, Image denoising, Signal to noise ratio

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SPIE Journal Paper | 1 June 2020

Build receptive pyramid for efficient color image compression artifact reduction

Bolun Zheng, Xiang Tian, Yaowu Chen, Rongxin Jiang, Xuesong Liu

JEI, Vol. 29, Issue 03, 033009, (June 2020) https://doi.org/10.1117/12.10.1117/1.JEI.29.3.033009

KEYWORDS: Convolution, Image compression, Image processing, Image restoration, Image resolution, Neural networks, Super resolution, Performance modeling, Image quality, Image filtering

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SPIE Journal Paper | 18 May 2020

Video super-resolution with phase-aided deformable alignment network

Zhuojun Cai, Yaowu Chen, Xiang Tian, Rongxin Jiang

JEI, Vol. 29, Issue 03, 033005, (May 2020) https://doi.org/10.1117/12.10.1117/1.JEI.29.3.033005

KEYWORDS: Video, Super resolution, Motion estimation, Light sources and illumination, Convolution, Lawrencium, Visualization, Feature extraction, RGB color model, Roentgenium

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SPIE Journal Paper | 3 July 2019

Multiframe interpolation for video using phase features

Lunan Zhou, Yaowu Chen, Xiang Tian, Rongxin Jiang

JEI, Vol. 28, Issue 04, 043002, (July 2019) https://doi.org/10.1117/12.10.1117/1.JEI.28.4.043002

KEYWORDS: Optical flow, Video, Image filtering, Image fusion, Image processing, Motion estimation, Visualization, Neural networks, Data modeling, Motion models

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Proceedings Article | 6 May 2019 Paper

Convolutional neural network with uncertainty estimates for no-reference image quality assessment

Yuge Huang, Xiang Tian, Rongxin Jiang, Yaowu Chen

Proceedings Volume 11069, 110691D (2019) https://doi.org/10.1117/12.2524149

KEYWORDS: Image quality, Convolutional neural networks, Image analysis, Feature extraction

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SPIE Journal Paper | 27 December 2018

Multitask convolutional neural network for no-reference image quality assessment

Yuge Huang, Xiang Tian, Yaowu Chen, Rongxin Jiang

JEI, Vol. 27, Issue 06, 063033, (December 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.6.063033

KEYWORDS: Distortion, Image quality, Convolutional neural networks, Computer programming, Databases, Associative arrays, Feature extraction, Image processing, Image compression, Data modeling

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SPIE Journal Paper | 15 November 2018

Dilated residual encode–decode networks for image denoising

Shengyu Li, Xuesong Liu, Rongxin Jiang, Fan Zhou, Yaowu Chen

JEI, Vol. 27, Issue 06, 063005, (November 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.6.063005

KEYWORDS: Convolution, Image denoising, Denoising, Performance modeling, Data modeling, Deconvolution, Network architectures, Image restoration, Fluctuations and noise, Convolutional neural networks

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SPIE Journal Paper | 10 April 2018

Deep supervised dictionary learning for no-reference image quality assessment

Yuge Huang, Xuesong Liu, Xiang Tian, Fan Zhou, Yaowu Chen, Rongxin Jiang

JEI, Vol. 27, Issue 02, 023020, (April 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.2.023020

KEYWORDS: Image quality, Associative arrays, Databases, Distortion, Computer programming, Feature extraction, Data modeling, Convolutional neural networks, Molybdenum, Image processing

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Showing 5 of 9 publications

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