TeMing Tu, Yuh-Chi Lee, Chien-Ping Chang, Ping Huang
Optical Engineering, Vol. 44, Issue 11, 116201, (November 2005) https://doi.org/10.1117/1.2124871
TOPICS: Image fusion, RGB color model, Distortion, Near infrared, Earth observing sensors, High resolution satellite images, Image visualization, Image compression, Optical engineering, Vegetation
Among various image fusion methods, intensity-hue-saturation (IHS) and Brovey transforms (BT) 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 (BTR) problems, a simple procedure of dynamic range adjustment (DRA) 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.