Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICCPHOT.2011.5753122 | ICCP |
Keywords | Field | DocType |
b spline based nonrigid registration method,atmospheric turbulence deblurring,atmospheric techniques,blind deconvolution algorithm,image fusion,atmospheric turbulence,image restoration,deconvolution,geometric distortion,geophysical image processing,deformation,image fusion process,space invariant near diffraction limited blur,image registration,splines (mathematics),time variant blur,visual quality,registered frame,pixel,covariance matrix,blind deconvolution,shape,image reconstruction | Computer vision,Blind deconvolution,Image fusion,Deblurring,Computer science,Deconvolution,Optics,Artificial intelligence,Pixel,Image restoration,Distortion,Image registration | Conference |
ISBN | Citations | PageRank |
978-1-61284-707-8 | 14 | 0.72 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang Zhu | 1 | 264 | 10.86 |
| Peyman Milanfar | 2 | 3284 | 155.61 |