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Proceedings Paper

Aliasing removing of hyperspectral image based on fractal structure matching
Author(s): Ran Wei; Ye Zhang; Junping Zhang
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Paper Abstract

Due to the richness on high frequency components, hyperspectral image (HSI) is more sensitive to distortion like aliasing. Many methods aiming at removing such distortion have been proposed. However, seldom of them are suitable to HSI, due to low spatial resolution characteristic of HSI. Fortunately, HSI contains plentiful spectral information, which can be exploited to overcome such difficulties. Motivated by this, we proposed an aliasing removing method for HSI. The major differences between proposed and current methods is that proposed algorithm is able to utilize fractal structure information, thus the dilemma originated from low-resolution of HSI is solved. Experiments on real HSI data demonstrated subjectively and objectively that proposed method can not only remove annoying visual effect brought by aliasing, but also recover more high frequency component.

Paper Details

Date Published: 13 May 2015
PDF: 7 pages
Proc. SPIE 9481, Image Sensing Technologies: Materials, Devices, Systems, and Applications II, 94810L (13 May 2015); doi: 10.1117/12.2179207
Show Author Affiliations
Ran Wei, Harbin Institute of Technology (China)
Ye Zhang, Harbin Institute of Technology (China)
Junping Zhang, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 9481:
Image Sensing Technologies: Materials, Devices, Systems, and Applications II
Nibir K. Dhar; Achyut K. Dutta, Editor(s)

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