Title :
Use of Motion Information in Super-Resolution Mosaicing
Author :
Kramer, P. ; Hadar, Ofer ; Benois-Pineau, Jenny ; Domenger, J. -P.
Author_Institution :
CNRS UMR, Bordeaux I Univ., Talence, France
Abstract :
In this paper, we present a super-resolution (SR) method based on iterative backprojections. Motion information is used for the synthesis of the restoration filter in the SR method. Both, the blur estimation and the choice of the degradation model, are based on estimated global motion. The method is applied to highly under-sampled images such as DC images of MPEG compressed video and medical magnetic resonance (MR) images. Results of the comparison of our blur model with some common blur models are encouraging.
Keywords :
filtering theory; image motion analysis; image resolution; image restoration; image sampling; image segmentation; iterative methods; blur estimation; iterative backprojection; motion information; restoration filter; super-resolution mosaicing; under-sampled images; Degradation; Image coding; Image restoration; Information filtering; Information filters; Iterative methods; Magnetic separation; Motion estimation; Strontium; Transform coding; Super-resolution; blur estimation;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.313167
