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Patch loss: A generic multi-scale perceptual loss for single image super-resolution
期刊论文
PATTERN RECOGNITION, 2023, 卷号: 139, 页码: 12
作者:
An, Tai
;
Mao, Binjie
;
Xue, Bin
;
Huo, Chunlei
;
Xiang, Shiming
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Single -image super -resolution
Multi -scale loss functions
Image visual perception
Perceptual metrics
Patch Loss: A generic multi-scale perceptual loss for single image super-resolution
期刊论文
Pattern Recognition, 2023, 卷号: 139, 页码: 109510
作者:
An T(安泰)
;
Mao BJ(毛彬杰)
;
Xue B(薛斌)
;
Huo CL(霍春雷)
;
Xiang SM(向世明)
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/17
Single-image super-resolution
Multi-scale loss functions
Image visual perception
Perceptual metrics
Inverted N-Type Lightweight Network Based on Back Projection for Image Super-Resolution Reconstruction
期刊论文
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2022, 卷号: 34, 期号: 6, 页码: 923-932
作者:
Song, Zhaoyang
;
Zhao, Xiaoqiang
;
Hui, Yongyong
;
Jiang, Hongmei
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/07/20
Deep learning
Image reconstruction
Optical resolving power
Signal to noise ratio
Backprojections
Deep learning
Image super-resolution reconstruction
Inverted N-type network
Low resolution images
Network-based
Reconstruction algorithms
Resolution images
Super-resolution reconstruction
Superresolution
Cross-domain heterogeneous residual network for single image super-resolution
期刊论文
Neural Networks, 2022, 卷号: 149, 页码: 84-94
作者:
Ji, Li
;
Zhu, Qinghui
;
Zhang, Yongqin
;
Yin, Juanjuan
;
Wei, Ruyi
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  |  
浏览/下载:92/0
  |  
提交时间:2022/03/29
Neural networks
Neural network architecture
Image restoration
Image resolution
Computational Imaging for Simultaneous Image Restoration and Super-Resolution Image Reconstruction of Single-Lens Diffractive Optical System
期刊论文
Applied Sciences-Basel, 2022, 卷号: 12, 期号: 9, 页码: 16
作者:
K. Liu
;
X. Yu
;
Y. S. Xu
;
Y. L. Xu
;
Y. Yao
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  |  
浏览/下载:0/0
  |  
提交时间:2023/06/14
Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4151-4165
作者:
Hu, Xuecai
;
Zhang, Zhang
;
Shan, Caifeng
;
Wang, Zilei
;
Wang, Liang
收藏
  |  
浏览/下载:85/0
  |  
提交时间:2021/11/03
Degradation
Kernel
Noise level
Convolution
Spatial resolution
Imaging
Arbitrary degradation
blur kernel
deep learning
meta-learning
scale factor
super-resolution
Optical Remote Sensing Image Denoising and Super-Resolution Reconstructing Using Optimized Generative Network in Wavelet Transform Domain
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 9
作者:
Feng, Xubin
;
Zhang, Wuxia
;
Su, Xiuqin
;
Xu, Zhengpu
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  |  
浏览/下载:45/0
  |  
提交时间:2021/06/09
remote sensing
denoising
super-resolution
generative adversarial network (GAN)
residual network (ResNet)
densely connection network (DenseNet)
relativistic
wavelet transform (WT)
total variation (TV)
Research on region selection super resolution restoration algorithm based on infrared micro-scanning optical imaging model
期刊论文
Scientific Reports, 2021, 卷号: 11, 期号: 1, 页码: 8
作者:
J. Chen
;
Y. Li and L. H. Cao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/06/13
Single depth map super-resolution via a deep feedback network
期刊论文
International Journal of Wavelets, Multiresolution and Information Processing, 2021, 卷号: 19, 期号: 2
作者:
G. Wu
;
Y. Wang and S. Li
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2022/06/13
Two-stream deep sparse network for accurate and efficient image restoration
期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2020, 卷号: 200, 页码: 11
作者:
Wang, Shuhui
;
Hu, Ling
;
Li, Liang
;
Zhang, Weigang
;
Huang, Qingming
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2020/12/10
Two-stream sparse network
Image restoration
Image super-resolution
Image denoising
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