A fast restoration method for atmospheric turbulence degraded images using non-rigid image registration

2013 ◽  
Author(s):  
Kalyan Kumar Halder ◽  
Murat Tahtali ◽  
Sreenatha G. Anavatti
Keyword(s):  
Image Registration ◽  
Atmospheric Turbulence ◽  
Restoration Method ◽  
Degraded Images

Restoring atmospheric-turbulence-degraded images

2016 ◽  
Vol 55 (19) ◽  
pp. 5082 ◽  
Author(s):  
Md. Hasan Furhad ◽  
Murat Tahtali ◽  
Andrew Lambert
Keyword(s):  
Atmospheric Turbulence ◽  
Degraded Images

Adaptive restoration method of multi-frame turbulence-degraded images based on stochastic point spread function

2015 ◽  
Vol 8 (3) ◽  
pp. 368-377
Author(s):  
朱瑞飞 ZHU Rei-fei ◽  
魏群 WEI Qun ◽  
王超 WANG Chao ◽  
贾宏光 JIA Hong-guang ◽  
吴海龙 WU Hai-long
Keyword(s):  
Point Spread Function ◽  
Point Spread ◽  
Adaptive Restoration ◽  
Spread Function ◽  
Restoration Method ◽  
Degraded Images

scholarly journals Structural Information Reconstruction of Distorted Underwater Images Using Image Registration

2020 ◽  
Vol 10 (16) ◽  
pp. 5670
Author(s):  
Tao Sun ◽  
Yugui Tang ◽  
Zhen Zhang
Keyword(s):  
Image Registration ◽  
Reference Frame ◽  
Structural Information ◽  
Motion Blur ◽  
Edge Information ◽  
Registration Algorithm ◽  
Underwater Image ◽  
Image Registration Algorithm ◽  
Surface Fluctuations ◽  
Restoration Method

Imaging through wavy air-water surface suffers from uneven geometric distortions and motion blur due to surface fluctuations. Structural information of distorted underwater images is needed to correct this in some cases, such as submarine cable inspecting. This paper presents a new structural information restoration method for underwater image sequences using an image registration algorithm. At first, to give higher priority to structural edge information, a reference frame is reconstructed from the sequence frames by a combination of lucky patches chosen and the guided filter. Then an iterative robust registration algorithm is applied to remove the severe distortions by registering frames against the reference frame, and the registration is guided towards the sharper boundary to ensure the integrity of edges. The experiment results show that the method exhibits improvement in sharpness and contrast, especially in some structural information such as text. Furthermore, the proposed edge-first registration strategy has faster iteration velocity and convergence speed compared with other registration strategies.

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