DocumentCode
1640183
Title
A fast restoration method for atmospheric turbulence degraded images using non-rigid image registration
Author
Halder, Kalyan Kumar ; Tahtali, Murat ; Anavatti, Sreenatha G.
Author_Institution
Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
fYear
2013
Firstpage
394
Lastpage
399
Abstract
In this paper, a fast image restoration method is proposed to restore the true image from an atmospheric turbulence degraded video. A non-rigid image registration algorithm is employed to register all the frames of the video to a reference frame and determine the shift maps. The First Register Then Average And Subtract-variant (FRTAASv) method is applied to correct the geometric distortion of the reference frame. A performance comparison is presented between the proposed restoration method and the earlier Minimum Sum of Squared Differences (MSSD) image registration based FRTAASv method, in terms of processing time and accuracy. Simulation results show that the proposed method requires shorter processing time to achieve the same geometric accuracy.
Keywords
image registration; image restoration; video signal processing; FRTAASv method; MSSD image registration; atmospheric turbulence degraded images; atmospheric turbulence degraded video; fast image restoration method; first register then average and subtract-variant method; geometric accuracy; geometric distortion correction; minimum sum-of-squared differences; nonrigid image registration algorithm; processing accuracy; processing time; shift maps determination; Accuracy; Deconvolution; Image registration; Image restoration; Imaging; Signal to noise ratio; Video sequences; atmospheric turbulence; computational time; image registration; image restoration; shift maps;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
Conference_Location
Mysore
Print_ISBN
978-1-4799-2432-5
Type
conf
DOI
10.1109/ICACCI.2013.6637204
Filename
6637204
Link To Document