Coded exposure imaging for projective motion deblurring
2010
Conference Paper
ps
We propose a method for deblurring of spatially variant object motion. A principal challenge of this problem is how to estimate the point spread function (PSF) of the spatially variant blur. Based on the projective motion blur model of, we present a blur estimation technique that jointly utilizes a coded exposure camera and simple user interactions to recover the PSF. With this spatially variant PSF, objects that exhibit projective motion can be effectively de-blurred. We validate this method with several challenging image examples.
Author(s): | Tai, Yu-Wing and Kong, Naejin and Lin, Stephen and Shin, Sung Yong |
Book Title: | Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) |
Pages: | 2408--2415 |
Year: | 2010 |
Month: | June |
Department(s): | Perceiving Systems |
Bibtex Type: | Conference Paper (inproceedings) |
Paper Type: | Conference |
Links: |
Publisher site
|
BibTex @inproceedings{kong10cvpr, title = {Coded exposure imaging for projective motion deblurring}, author = {Tai, Yu-Wing and Kong, Naejin and Lin, Stephen and Shin, Sung Yong}, booktitle = {Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, pages = {2408--2415}, month = jun, year = {2010}, doi = {}, month_numeric = {6} } |