Use of motion information in super-resolution mosaicing

被引：3
|
作者：
Kramer, P. [1 ]
Hadar, O. [2 ]
Benois-Pineau, J. [1 ]
Domenger, J. -P. [1 ]
机构：
[1] Univ Bordeaux 1, CNRS, UMR 5800, LaBRI, 351,Cours Liberat, F-33405 Talence, France
[2] Ben Gurion Univ Negev, Dept Comm Sys Eng, IL-84105 Beer Sheva, Israel
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年
关键词：
super-resolution; blur estimation;
D O I：
10.1109/ICIP.2006.313167
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：357 / +
页数：2
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