Please use this identifier to cite or link to this item:
|Title:||Fast splitting algorithm for multiframe total variation blind video deconvolution|
|Citation:||Wen, Y.-W., Liu, C., Yip, A.M. (2010-05-20). Fast splitting algorithm for multiframe total variation blind video deconvolution. Applied Optics 49 (15) : 2761-2768. ScholarBank@NUS Repository. https://doi.org/10.1364/AO.49.002761|
|Abstract:||We consider the recovery of degraded videos without complete knowledge about the degradation. A spatially shift-invariant but temporally shift-varying video formation model is used. This leads to a simple multiframe degradation model that relates each original video frame with multiple observed frames and point spread functions (PSFs). We propose a variational method that simultaneously reconstructs each video frame and the associated PSFs from the corresponding observed frames. Total variation (TV) regularization is used on both the video frames and the PSFs to further reduce the ill-posedness and to better preserve edges. In order to make TV minimization practical for video sequences, we propose an efficient splitting method that generalizes some recent fast single-image TV minimization methods to the multiframe case. Both synthetic and real videos are used to show the performance of the proposed method. © 2010 Optical Society of America.|
|Source Title:||Applied Optics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jun 17, 2018
WEB OF SCIENCETM
checked on Jun 4, 2018
checked on May 18, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.