Efficient intensity-hue-saturation-based image fusion with saturation compensation

被引:39
作者
Tu, TM [1 ]
Su, SC [1 ]
Shyu, HC [1 ]
Huang, PS [1 ]
机构
[1] Chung Chen Inst Technol, Dept Elect Engn, Tao Yuan 33509, Taiwan
关键词
image fusion; intensity-hue-saturation (IHS); Brovey transform; IHS with saturation compensation;
D O I
10.1117/1.1355956
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
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. (C) 2001 Society of Photo-Optical Instrumentation Engineers.
引用
收藏
页码:720 / 728
页数:9
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