DocumentCode :
1861545
Title :
Using bounded-influence M-estimators in multi-frame super-resolution reconstruction: A comparative study
Author :
El-Yamany, Noha A. ; Papamichalis, Panos E.
Author_Institution :
Dept. of Electr. Eng. Dept., Southern Methodist Univ., Dallas, TX
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
337
Lastpage :
340
Abstract :
This paper introduces a comparative study of bounded-influence M-estimators in the context of multi-frame super-resolution reconstruction. The objectives of this study are to compare these estimators in terms of robustness, and to highlight the associated tradeoff between robustness and edge preservation (crispness) in the presence of registration errors and motion outliers.
Keywords :
image motion analysis; image reconstruction; image registration; image resolution; bounded-influence M-estimators; image resolution; motion outliers; multiframe super-resolution reconstruction; registration error; Bismuth; High-resolution imaging; Image reconstruction; Image resolution; Layout; Mathematical model; Motion estimation; Optical noise; Robustness; Strontium; M-estimators; influence function; multi-frame super-resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2008.4711760
Filename :
4711760
Link To Document :
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