No-Reference Quality Assessment of Extended Target Adaptive Optics Images Using Deep Neural Network

No-Reference Quality Assessment of Extended Target Adaptive Optics Images Using Deep Neural Network

This paper proposes a supervised deep neural network model for accomplishing highly efficient image quality assessment (IQA) for adaptive optics (AO) images. The AO imaging systems based on ground-based telescopes suffer from residual atmospheric turbulence, tracking error, and photoelectric noise,...

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Bibliographic Details
Main Authors: Guoqing Gao, Lingxiao Li, Hao Chen, Ning Jiang, Shuqi Li, Qing Bian, Hua Bao, Changhui Rao
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
image quality assessment
AO images
deep neural network
point spread function
Online Access:https://www.mdpi.com/1424-8220/24/1/1

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