Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework-Reference-Cited by-同舟云学术

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Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework

Published:2018-09 Issue:9 Volume:25 Page:1403-1407
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Chen Jie^ORCID,Hou Junhui^ORCID,Chau Lap-Pui^ORCID

Funder

ST Engineering-NTU Corporate Lab through the NRF Corporate Laboratory@University scheme

Hong Kong RGC Early Career Scheme Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/8411353/08423122.pdf?arnumber=8423122

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Probabilistic-Based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising;International Journal of Computer Vision;2024-01-12

2. Efficient Low-Light Light Field Enhancement With Progressive Feature Interaction;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

3. 基于深度学习的光场图像重建与增强综述（特邀）;Laser & Optoelectronics Progress;2024

4. Hybrid Light Field Image Denoising Network using 4D-DCT Separated Transform;2023 IEEE International Conference on Visual Communications and Image Processing (VCIP);2023-12-04

5. A novel deep learning based underwater image de-noising and detecting suspicious object;Journal of Intelligent & Fuzzy Systems;2023-10-04

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