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Fifth IEEE Workshop on Applications of Computer Vision (WACV'00)
Restoration of Multiple Images with Motion Blur in Different Directions
Palm Springs, California, USA
December 04-December 06
ISBN: 0-7695-0813-8
ASCII Text
x 
 
Alex Rav-Acha, Shmuel Peleg, "Restoration of Multiple Images with Motion Blur in Different Directions," Applications of Computer Vision, IEEE Workshop on, pp. 22, Fifth IEEE Workshop on Applications of Computer Vision (WACV'00), 2000.
 
 
BibTex
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@article{ 10.1109/WACV.2000.895398,
author = {Alex Rav-Acha and Shmuel Peleg},
title = {Restoration of Multiple Images with Motion Blur in Different Directions},
journal ={Applications of Computer Vision, IEEE Workshop on},
volume = {0},
year = {2000},
isbn = {0-7695-0813-8},
pages = {22},
doi = {http://doi.ieeecomputersociety.org/10.1109/WACV.2000.895398},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Applications of Computer Vision, IEEE Workshop on
TI - Restoration of Multiple Images with Motion Blur in Different Directions
SN - 0-7695-0813-8
SP
EP
A1 - Alex Rav-Acha,
A1 - Shmuel Peleg,
PY - 2000
KW - null
VL - 0
JA - Applications of Computer Vision, IEEE Workshop on
ER -
 
Alex Rav-Acha, The Hebrew University of Jerusalem
Shmuel Peleg, The Hebrew University of Jerusalem
Images degraded by motion blur can be restored when several blurred images are given, and the direction of motion blur in each image is different.
Given two motion blurred images, best restoration is obtained when the directions of motion blur in the two images are orthogonal.
Motion blur at different directions is common, for example, in the case of small hand-held digital cameras due to fast hand trembling and the light weight of the camera.
Restoration examples are given on simulated data as well as on images with real motion blur.
Citation:
Alex Rav-Acha, Shmuel Peleg, "Restoration of Multiple Images with Motion Blur in Different Directions," wacv, pp.22, Fifth IEEE Workshop on Applications of Computer Vision (WACV'00), 2000
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