Atmospheric Turbulence Mitigation Using Optical Flow

被引:10
作者
Caliskan, Tufan [1 ]
Arica, Nafiz [2 ]
机构
[1] Turkish Naval Acad, Dept Comp Engn, Istanbul, Turkey
[2] Bahcesehir Univ, Fac Engn, Istanbul, Turkey
来源
2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) | 2014年
关键词
image restoration; image registration; optical flow; atmospheric turbulence; blind deconvolution; BLIND DECONVOLUTION;
D O I
10.1109/ICPR.2014.162
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Atmospheric turbulence causes blurring and geometrical distortion in images acquired from a long distance. In this paper, we propose a fast and effective feature based registration technique in removing the distortions caused by atmospheric turbulence. We utilize optical flow method and combine the advantages of previous approaches based on space-invariant deconvolution and lucky frame idea. After an optical flow based registration of degraded image sequence, a patch-wise multi-frame reconstruction technique is applied to fuse the registered images. Finally, a blind-deconvolution technique is implemented to deblur the fused image to obtain a single high quality image. The experiments performed on common datasets show that the proposed method produces higher quality images more efficiently than the available methods.
引用
收藏
页码:883 / 888
页数:6
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