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Proceedings Paper

High resolution image reconstruction from projection of low resolution images differing in subpixel shifts
Author(s): Manohar Mareboyana; Jacqueline Le Moigne; Jerome Bennett
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Paper Abstract

In this paper, we demonstrate simple algorithms that project low resolution (LR) images differing in subpixel shifts on a high resolution (HR) also called super resolution (SR) grid. The algorithms are very effective in accuracy as well as time efficiency. A number of spatial interpolation techniques using nearest neighbor, inverse-distance weighted averages, Radial Basis Functions (RBF) etc. are used in projection. For best accuracy of reconstructing SR image by a factor of two requires four LR images differing in four independent subpixel shifts. The algorithm has two steps: i) registration of low resolution images and (ii) shifting the low resolution images to align with reference image and projecting them on high resolution grid based on the shifts of each low resolution image using different interpolation techniques. Experiments are conducted by simulating low resolution images by subpixel shifts and subsampling of original high resolution image and the reconstructing the high resolution images from the simulated low resolution images. The results of accuracy of reconstruction are compared by using mean squared error measure between original high resolution image and reconstructed image. The algorithm was tested on remote sensing images and found to outperform previously proposed techniques such as Iterative Back Projection algorithm (IBP), Maximum Likelihood (ML) algorithms. The algorithms are robust and are not overly sensitive to the registration inaccuracies.

Paper Details

Date Published: 20 May 2016
PDF: 8 pages
Proc. SPIE 9870, Computational Imaging, 98700F (20 May 2016); doi: 10.1117/12.2223936
Show Author Affiliations
Manohar Mareboyana, Bowie State Univ. (United States)
Jacqueline Le Moigne, NASA Goddard Space Flight Ctr. (United States)
Jerome Bennett, NASA Goddard Space Flight Ctr. (United States)


Published in SPIE Proceedings Vol. 9870:
Computational Imaging
Abhijit Mahalanobis; Kenneth S. Kubala; Amit Ashok; Jonathan C. Petruccelli; Lei Tian, Editor(s)

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