Multiscale Image Data Fusion with Wavelet Transform

Existing methods for image data fusion are not quite satisfactory for object detection. To improve the resolution of target and suppress the detection noise of each sensor, a new method for image data fusion based on wavelet transform is presented. By decomposing the image with wavelet transform, wavelet coefficients and approximation coefficients at different scales are obtained. We took those coefficients with larger absolute value in-between the multiresolution images as the important wavelet coefficients and computed the weighted mean value of the approximation coefficients. And the fused image can be obtained by using the inverse wavelet transform for the important wavelet coefficients and the weighted approximation coefficients. Experimental results show that the data fusion method based on wavelet transform is very effective and can be applied to wide research fields.