Back to Search
Start Over
Super-resolution image reconstruction using multisensors.
- Source :
-
Numerical Linear Algebra with Applications . Mar/Apr2005, Vol. 12 Issue 2/3, p271-281. 11p. - Publication Year :
- 2005
-
Abstract
- Super-resolution image reconstruction refers to obtaining an image at a resolution higher than that of a camera (sensor) used in recording the image. In this paper, we present a new joint minimization model in which an objective function is set up consisting of three terms: the data fitting term, the regularization terms for the reconstructed image and the observed low-resolution images. An alternating minimization iterative algorithm is proposed and developed to reconstruct the image. We give a convergence analysis of the alternating minimization iterative algorithm and show that it converges for H1-norm regularization functional. Numerical examples are given to illustrate the effectiveness of the joint minimization model and the efficiency of the algorithm. Copyright © 2004 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10705325
- Volume :
- 12
- Issue :
- 2/3
- Database :
- Academic Search Index
- Journal :
- Numerical Linear Algebra with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 16412130
- Full Text :
- https://doi.org/10.1002/nla.414