A Study on IHS+WT and HSV+WT Methods of Image Fusion

Image fusion technique has been widely applied to remote sensing image analysis and processing and the aim of the image fusion is to integrate the characteristic information of each image. By uniting the useful information a new image can be formed to improve the visual impression, and one can get a more accurate, comprehensive and reliable description for the same scene. In the traditional IHS transform method the results will always result in the spectral distortion. So an image fusion method based on HSV color space model and wavelet transform (HSV+WT) has been proposed on the basis of the method which is based on IHS transform and wavelet transform (IHS+WT). Study and compare the two methods in this paper and give a low frequency coefficient fusion method and give examples. The examples show that the result of the HSV+WT method is better than the result of the IHS+WT method and that the low frequency coefficient fusion method of this paper is feasible.