Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Space-Variant Restoration of Images Degraded by Camera Motion Blur

Typ:
Jornal article
Name of journal:
IEEE Transactions on Image Processing
Year:
2008
Number:
2 (2008)
Pages:
105-116
ISSN:
1057-7149
Keywords:
camera shake, deblurring, depth from motion, multichannel bl
Anotation:
We examine the problem of restoration from multiple images degraded by camera motion blur.We consider scenes with significant depth variations resulting in space-variant blur. The proposed algorithm can be applied if the camera moves along an arbitrary curve parallel to the image plane, without any rotations. The knowledge of camera trajectory and camera parameters is not necessary. At the input, the user selects a region where depth variations are negligible. The algorithm belongs to the group of variational methods that estimate simultaneously a sharp image and a depth map, based on the minimization of a cost functional. To initialize the minimization, it uses an auxiliary window-based depth estimation algorithm. Feasibility of the algorithm is demonstrated by three experiments with real images.
 
Copyright 2005 DAR XHTML CSS