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IMAGE RECONSTRUCTION WITH IMPROVED SUPER-RESOLUTION ALGORITHM.

Authors :
CHEN, CHIEN-YU
KUO, YU-CHUAN
FUH, CHIOU-SHANN
Source :
International Journal of Pattern Recognition & Artificial Intelligence. Dec2004, Vol. 18 Issue 8, p1513-1527. 15p.
Publication Year :
2004

Abstract

In this paper we propose a technique that reconstructs high-resolution images with improved super-resolution algorithms, based on Irani and Peleg iterative method, and employs our suggested initial interpolation, robust image registration, automatic image selection and image enhancement post-processing. When the target of reconstruction is a moving object with respect to a stationary camera, high-resolution images can still be reconstructed, whereas previous systems only work well when we move the camera and the displacement of the whole scene is the same. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02180014
Volume :
18
Issue :
8
Database :
Academic Search Index
Journal :
International Journal of Pattern Recognition & Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
15520650
Full Text :
https://doi.org/10.1142/S0218001404003848