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 dis- tinct image fusion methods are derived and discussed. Methods to ex- tend current image fusion methods to any arbitrary order are also out- lined. 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. © 2001 Society of Photo-Optical Instrumentation Engineers. (DOI: 10.1117/1.1355956) Subject terms: image fusion; intensity-hue-saturation (IHS); Brovey transform; IHS with saturation compensation.
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