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Proceedings Paper

A novel algorithm for multi-frame real image restoration
Author(s): Xia Hua; Yu Shi
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Paper Abstract

We present a novel blind restoration algorithm to restore object images from real images based on maximum likelihood estimation. In order to estimate the unknown turbulence point spread functions (PSF) of the observed image contain the same objects, multi-frame images are used to construct an integral likelihood function. A series of experiments for synthetic and real images illustrate that the proposed algorithm is effective in restoring real images.

Paper Details

Date Published: 14 December 2015
PDF: 5 pages
Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151O (14 December 2015); doi: 10.1117/12.2205516
Show Author Affiliations
Xia Hua, Wuhan Institute of Technology (China)
Yu Shi, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 9815:
MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jianguo Liu; Hong Sun, Editor(s)

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