Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization-Reference-Cited by-同舟云学术

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Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization

Published:2020-02 Issue:2 Volume:30 Page:320-333
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Zhang Yongbing^ORCID,Feng Yihui,Liu Xianming^ORCID,Zhai Deming,Ji Xiangyang^ORCID,Wang Haoqian,Dai Qionghai^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Shenzhen Fundamental Research Fund

Shenzhen Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/8984597/08598824.pdf?arnumber=8598824

Cited by 20 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. A Transferred Graph Laplacian Regularization Approach for Color Image Denoising;2023 8th International Conference on Communication, Image and Signal Processing (CCISP);2023-11-17

2. Guided Depth Map Super-Resolution: A Survey;ACM Computing Surveys;2023-07-17

3. A Fractional-Order Total Variation Regularization-Based Method for Recovering Geiger-Mode Avalanche Photodiode Light Detection and Ranging Depth Images;Fractal and Fractional;2023-05-31

4. Joint depth map super-resolution method via deep hybrid-cross guidance filter;Pattern Recognition;2023-04

5. A two-branch cloud detection algorithm based on the fusion of a feature enhancement module and Gaussian mixture model;Mathematical Biosciences and Engineering;2023

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