A novel algorithm for multi-frame real image restoration

被引：0
|
作者：
Hua, Xia [1 ]
Shi, Yu [1 ]
机构：
[1] Wuhan Inst Technol, Sch Elect & Informat Engn, Lab Image Proc, Wuhan 430074, Peoples R China
来源：
MIPPR 2015: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS | 2015年 / 9815卷
关键词：
turbulence-degraded image; multi-frame image restoration; maximum likelihood estimation;
D O I：
10.1117/12.2205516
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
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页数：5
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