RestoreNet: a deep learning framework for image restoration in optical synthetic aperture imaging system-Reference-Cited by-同舟云学术

RestoreNet: a deep learning framework for image restoration in optical synthetic aperture imaging system

Published:2021-04 Issue: Volume:139 Page:106463
ISSN:0143-8166
Container-title:Optics and Lasers in Engineering
language:en
Short-container-title:Optics and Lasers in Engineering

Author:

Tang Ju,Wang Kaiqiang,Ren Zhenbo,Zhang Wei,Wu Xiaoyan,Di Jianglei,Liu Guodong,Zhao Jianlin

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference20 articles.

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3. "Image quality analysis of a spectra-radiometric sparse aperture model,";Block;Spaceborne Sensors. International Society for Optics and Photonics,2004

4. "Experimental study on imaging and image restoration of optical sparse aperture systems,";Wang;Opt Eng,2007

5. "Image restoration for sparse aperture systems based on wavelet-Wiener algorithm,";Zhu,2009

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