Blind Restoration of a Single Real Turbulence-Degraded Image Based on Self-Supervised Learning

Blind Restoration of a Single Real Turbulence-Degraded Image Based on Self-Supervised Learning

Turbulence-degraded image frames are distorted by both turbulent deformations and space–time varying blurs. Restoration of the atmospheric turbulence-degraded image is of great importance in the state of affairs, such as remoting sensing, surveillance, traffic control, and astronomy. While tradition...

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Bibliographic Details
Main Authors: Yiming Guo, Xiaoqing Wu, Chun Qing, Liyong Liu, Qike Yang, Xiaodan Hu, Xianmei Qian, Shiyong Shao
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
blind restoration
atmospheric turbulence
single image
self-supervised learning
Online Access:https://www.mdpi.com/2072-4292/15/16/4076

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