Aliasing removing of hyperspectral image based on fractal structure matching

Ran Wei; Ye Zhang; Junping Zhang

doi:10.1117/12.2179207

13 May 2015 Aliasing removing of hyperspectral image based on fractal structure matching

Ran Wei, Ye Zhang, Junping Zhang

Proceedings Volume 9481, Image Sensing Technologies: Materials, Devices, Systems, and Applications II; 94810L (2015) https://doi.org/10.1117/12.2179207
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

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.

Citation Download Citation

Ran Wei, Ye Zhang, and Junping Zhang "Aliasing removing of hyperspectral image based on fractal structure matching", Proc. SPIE 9481, Image Sensing Technologies: Materials, Devices, Systems, and Applications II, 94810L (13 May 2015); https://doi.org/10.1117/12.2179207

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