Among various image fusion methods, intensity-huesaturation ͑IHS͒ and Brovey transforms ͑BT͒ can quickly merge huge amounts of IKONOS/QuickBird imagery. However, spectral degradation often appears in the fused images. Moreover, IHS and BT suffer from individual color distortion on saturation compression and saturation stretching, respectively. To balance these two saturation changes during the fusion process, an adjustable IHS-BT approach with spectral adjustment is proposed. Furthermore, to solve the typical bright target recovery ͑BTR͒ problems, a simple procedure of dynamic range adjustment ͑DRA͒ is also presented. By adopting different DRA techniques, the proposed IHS-BT method is divided into two different fusion approaches: the model of preserving spectral information and the model of enhancing spatial details. Experimental results demonstrate that the proposed combined approaches can achieve significant improvement over other current approaches.
Among the methods of spatial detail injection, smoothingfilter-based intensity modulation ͑SFIM͒ can quickly merge a huge amount of different spatial resolution imagery with little color distortion. However, the success of spatial-detail injection mainly relies on the designed low-pass filter. For IKONOS-QuickBird image fusion, SFIM requires an elaborate filter to extract adequate spatial details. To ease the filter design and preserve complete spatial information, a modified approach is presented. Experimental results demonstrate that the proposed technique provides significant improvements over the original method.
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