A Blind Restoration Method for Remote Sensing Images

A Blind Restoration Method for Remote Sensing Images

This letter proposes a blind image restoration method for the deblurring of remote sensing images. A simple but robust identification method of point spread function (PSF) support is proposed, and a joint estimation method is presented to simultaneously solve the PSF coefficients and restoration ima...

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Veröffentlicht in:IEEE geoscience and remote sensing letters 2012-11, Vol.9 (6), p.1137-1141
Hauptverfasser: Shen, Huanfeng, Du, Lijun, Zhang, Liangpei, Gong, Wei
Format: Artikel
Sprache:eng
Schlagworte:
Blind restoration
Deconvolution
Estimation
Image restoration
joint estimation
Joints
Measurement
Optimized production technology
Remote sensing
support identification
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Zusammenfassung:This letter proposes a blind image restoration method for the deblurring of remote sensing images. A simple but robust identification method of point spread function (PSF) support is proposed, and a joint estimation method is presented to simultaneously solve the PSF coefficients and restoration image. To narrow the solution space for the best possible definition, the Huber-Markov (Huber-Markov random field) prior model is employed to regularize the two series of unknowns. Experiments were performed to demonstrate the effectiveness of the proposed approach.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2012.2190038