Title :
Restoration of multiple images with motion blur in different directions
Author :
Rav-Acha, Alex ; Peleg, Shmuel
Author_Institution :
Sch. of Comput. Sci. & Eng., Hebrew Univ., Jerusalem, Israel
Abstract :
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
Keywords :
image restoration; image sequences; motion estimation; blurred images; digital cameras; hand trembling; motion blur; motion blurred images; multiple images; restoration; Autoregressive processes; Computer science; Deconvolution; Degradation; Digital cameras; Image analysis; Image motion analysis; Image restoration; Kernel; Motion analysis;
Conference_Titel :
Applications of Computer Vision, 2000, Fifth IEEE Workshop on.
Conference_Location :
Palm Springs, CA
Print_ISBN :
0-7695-0813-8
DOI :
10.1109/WACV.2000.895398
