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Proceedings Paper

General iterative method for spatial resolution improvement of digital images in spatial domain
Author(s): Pengwei Hao
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Paper Abstract

Spatial resolution improvement of digital images has significant applications in remote sensing and computer vision. In this paper, a general iterative method is proposed to improve the spatial resolution from low- resolution images in spatial domain. The general method of interpolation and simulated sampling is formed based on the iterative methods for signal reconstruction from nonuniform sampling and the methods of projection onto convex sets by defining convex sets of the sampled images and projection onto the sets, and using a general parallel projection method to find the common points of the sets. The method can be applied to multiframe images with different spatial resolution, various image radiance, relative geometric distortion, additive random noise, and some other general imaging style. Some experiments with resolution test pattern and multiangular remote sensing images performed the convergence and the effectiveness of the algorithms.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323642
Show Author Affiliations
Pengwei Hao, Peking Univ. (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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