Blind Infrared Remote-Sensing Image Deblurring Algorithm via Edge Composite-Gradient Feature Prior and Detail Maintenance

Blind Infrared Remote-Sensing Image Deblurring Algorithm via Edge Composite-Gradient Feature Prior and Detail Maintenance

The problem of blind image deblurring remains a challenging inverse problem, due to the ill-posed nature of estimating unknown blur kernels and latent images within the Maximum A Posteriori (MAP) framework. To address this challenge, traditional methods often rely on sparse regularization priors to...

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Bibliographic Details
Main Authors: Xiaohang Zhao, Mingxuan Li, Ting Nie, Chengshan Han, Liang Huang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
blind image deblurring
edge gradient feature
sparse prior term
detail maintenance
remote sensing images
Online Access:https://www.mdpi.com/2072-4292/16/24/4697
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