1 May 2001 Efficient intensity-hue-saturation-based image fusion with saturation compensation
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Optical Engineering, 40(5), (2001). doi:10.1117/1.1355956
Abstract
The intensity-hue-saturation (IHS) and Brovey transforms are two widespread image fusion methods in the remote sensing community. However, both are sensitive to the characteristics of the analyzed area. Restated, they often face color distortion problems with fused images. This work investigates models representing the color space in images. Schemes governing saturation change during fusion are also evaluated to derive the correct saturation values for each pixel in a fused image. In addition, algorithms that compensate distorted saturation values for distinct image fusion methods are derived and discussed. Methods to extend current image fusion methods to any arbitrary order are also outlined. Finally, an illustrative example of a fused SPOT image demonstrates the color distortion problem while an IKONOS image is adopted to evaluate various contemporary image fusion methods.
TeMing Tu, Shun-Chi Su, Hsuen Chyun Shyu, Ping Sheng Huang, "Efficient intensity-hue-saturation-based image fusion with saturation compensation," Optical Engineering 40(5), (1 May 2001). http://dx.doi.org/10.1117/1.1355956
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KEYWORDS
Image fusion

Transform theory

Distortion

Multispectral imaging

Earth observing sensors

High resolution satellite images

Image processing

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