Title :
Stabilizing and deblurring atmospheric turbulence
Author :
Zhu, Xiang ; Milanfar, Peyman
Author_Institution :
Electr. Eng. Dept., Univ. of California, Santa Cruz, CA, USA
Abstract :
A new approach is proposed to correct geometric distortion and reduce space and time-variant blur in videos that suffer from atmospheric turbulence. We first register the frames to suppress geometric deformation using a B-spline based non-rigid registration method. Next, a fusion process is carried out to produce an image from the registered frames, which can be viewed as being convolved with a space invariant near-diffraction-limited blur. Finally, a blind deconvolution algorithm is implemented to deblur the fused image. Experiments using real data illustrate that this approach is capable of alleviating blur and geometric deformation caused by turbulence, recovering details of the scene and significantly improving visual quality.
Keywords :
atmospheric techniques; atmospheric turbulence; deconvolution; deformation; geophysical image processing; image fusion; image registration; image restoration; splines (mathematics); B spline based nonrigid registration method; atmospheric turbulence deblurring; blind deconvolution algorithm; geometric distortion; image fusion process; registered frame; space invariant near diffraction limited blur; time variant blur; visual quality; Additive noise; Covariance matrix; Deconvolution; Image reconstruction; Image restoration; Pixel; Shape;
Conference_Titel :
Computational Photography (ICCP), 2011 IEEE International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-61284-707-8
DOI :
10.1109/ICCPHOT.2011.5753122