Estimation of high resolution images and registration parameters from low resolution observations

6Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper we consider the problem of reconstructing a high resolution image from a set of undersampled and degraded frames, all of them obtained from high resolution images with unknown shifting displacements between them. We derive an iterative method to estimate the unknown shifts and the high resolution image given the low resolution observations. Finally, the proposed method is tested on real images. © Springer-Verlag 2004.

Cite

CITATION STYLE

APA

Villena, S., Abad, J., Molina, R., & Katsaggelos, A. K. (2004). Estimation of high resolution images and registration parameters from low resolution observations. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3287, 509–516. https://doi.org/10.1007/978-3-540-30463-0_64

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free