Search Results - "Xueyang Fu"

Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal by Xueyang Fu, Jiabin Huang, Xinghao Ding, Yinghao Liao, Paisley, John

“…We introduce a deep network architecture called DerainNet for removing rain streaks from an image. Based on the deep convolutional neural network (CNN), we…”
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A fusion-based enhancing method for weakly illuminated images by Fu, Xueyang, Zeng, Delu, Huang, Yue, Liao, Yinghao, Ding, Xinghao, Paisley, John

“…We propose a straightforward and efficient fusion-based method for enhancing weakly illumination images that uses several mature image processing techniques…”
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Removing Rain from Single Images via a Deep Detail Network by Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, Paisley, John

“…We propose a new deep network architecture for removing rain streaks from individual images based on the deep convolutional neural network (CNN). Inspired by…”
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A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction by Sun, Liyan, Fan, Zhiwen, Fu, Xueyang, Huang, Yue, Ding, Xinghao, Paisley, John

“…Compressed sensing (CS) theory can accelerate multi-contrast magnetic resonance imaging (MRI) by sampling fewer measurements within each contrast. However,…”
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PanNet: A Deep Network Architecture for Pan-Sharpening by Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang, Xinghao Ding, Paisley, John

“…We propose a deep network architecture for the pan-sharpening problem called PanNet. We incorporate domain-specific knowledge to design our PanNet architecture…”
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A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation by Fu, Xueyang, Liao, Yinghao, Zeng, Delu, Huang, Yue, Zhang, Xiao-Ping, Ding, Xinghao

“…In this paper, a new probabilistic method for image enhancement is presented based on a simultaneous estimation of illumination and reflectance in the linear…”
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A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation by Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping Zhang, Xinghao Ding

“…We propose a weighted variational model to estimate both the reflectance and the illumination from an observed image. We show that, though it is widely adopted…”
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Successive Graph Convolutional Network for Image De-raining by Fu, Xueyang, Qi, Qi, Zha, Zheng-Jun, Ding, Xinghao, Wu, Feng, Paisley, John

“…Deep convolutional neural networks (CNNs) have shown their advantages in the single image de-raining task. However, most existing CNNs-based methods utilize…”
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Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT by Fu, Xueyang, Wang, Jiye, Zeng, Delu, Huang, Yue, Ding, Xinghao

“…In this letter, an effective enhancement method for remote sensing images is introduced to improve the global contrast and the local details. The proposed…”
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A retinex-based enhancing approach for single underwater image by Xueyang Fu, Peixian Zhuang, Yue Huang, Yinghao Liao, Xiao-Ping Zhang, Xinghao Ding

“…Since the light is absorbed and scattered while traveling in water, color distortion, under-exposure and fuzz are three major problems of underwater imaging…”
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An Invertible Dynamic Graph Convolutional Network for Multi-Center ASD Classification by Chen, Yueying, Liu, Aiping, Fu, Xueyang, Wen, Jie, Chen, Xun

“…Autism Spectrum Disorder (ASD) is one common developmental disorder with great variations in symptoms and severity, making the diagnosis of ASD a challenging…”
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A fusion-based method for single backlit image enhancement by Qiuhong Wang, Xueyang Fu, Xiao-Ping Zhang, Xinghao Ding

“…In this work, a new simple but effective fusion-based strategy for enhancing single backlit image is proposed. The fundamental idea of proposed strategy is to…”
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Two-step approach for single underwater image enhancement by Xueyang Fu, Zhiwen Fan, Mei Ling, Yue Huang, Xinghao Ding

“…Underwater images often suffer from color shift and contrast degradation due to the absorption and scattering of light while traveling in water. In order to…”
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Underwater image enhancement with global–local networks and compressed-histogram equalization by Fu, Xueyang, Cao, Xiangyong

“…Due to the light absorption and scattering, captured underwater images usually contain severe color distortion and contrast reduction. To address the above…”
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A novel retinex based approach for image enhancement with illumination adjustment by Xueyang Fu, Ye Sun, Minghui LiWang, Yue Huang, Xiao-Ping Zhang, Xinghao Ding

“…Retinex based algorithms have been widely used among in image enhancement. Since many retinex based algorithms remove illumination and regard the reflectance…”
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Lightweight Pyramid Networks for Image Deraining by Fu, Xueyang, Liang, Borong, Huang, Yue, Ding, Xinghao, Paisley, John

“…Existing deep convolutional neural networks (CNNs) have found major success in image deraining, but at the expense of an enormous number of parameters. This…”
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Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising by Cao, Xiangyong, Fu, Xueyang, Xu, Chen, Meng, Deyu

“…Although deep neural networks (DNNs) have been widely applied to hyperspectral image (HSI) denoising, most DNN-based HSI denoising methods are designed by…”
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Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening by Fu, Xueyang, Wang, Wu, Huang, Yue, Ding, Xinghao, Paisley, John

“…We introduce a new deep detail network architecture with grouped multiscale dilated convolutions to sharpen images contain multiband spectral information…”
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PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening by Cao, Xiangyong, Fu, Xueyang, Hong, Danfeng, Xu, Zongben, Meng, Deyu

“…Recently, deep learning (DL) approaches have been widely applied to the pansharpening problem, which is defined as fusing a low-resolution multispectral (LRMS)…”
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Image De-Raining Transformer by Xiao, Jie, Fu, Xueyang, Liu, Aiping, Wu, Feng, Zha, Zheng-Jun

“…Existing deep learning based de-raining approaches have resorted to the convolutional architectures. However, the intrinsic limitations of convolution,…”
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