LineDL: Processing Images Line-by-Line With Deep Learning-Reference-Cited by-同舟云学术

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LineDL: Processing Images Line-by-Line With Deep Learning

Published:2023 Issue: Volume:32 Page:3150-3162
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Huang Yujie¹^ORCID,Chen Wenshu¹^ORCID,Peng Liyuan¹^ORCID,Liu Yuhao²^ORCID,Wang Mingyu¹^ORCID,Zhang Xiao-Ping³^ORCID,Zeng Xiaoyang¹

Affiliation:

1. State Key Laboratory of ASIC & System, College of Microelectronics, Fudan University, Shanghai, China

2. Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong

3. Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, Canada

Funder

National Natural Science Foundation of China

State Key Laboratory of ASIC and System

Zhuhai Fudan Innovation Institute

Key Research and Development Program of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10130777.pdf?arnumber=10130777

Reference89 articles.

1. A Non-Local Algorithm for Image Denoising

2. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention—MICCAI 2015,2015

3. Color Demosaicing Using Variance of Color Differences

4. Collaborative Distillation for Ultra-Resolution Universal Style Transfer

5. Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data

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