Abstract:Most of methods for image fusion are based on only one characteristic of image, which is liable to cause some information loss about other characteristics. In order to solve this problem, a new method for image fusion based on Haar wavelet and multi-characteristics is proposed. After Haar wavelet transformation, the low-frequency part is fused by gradient and energy since it contains most energy of the image. And the high-frequency part is fused by variance and transforming coefficient because it reflects the details of image. Finally, the inverse transform is performed to obtain fused image. After multi-group images fusion by this method, the performance of image fusion is evaluated by four criteria including average value, variance , entropy and average gradient. It is indicated that this method can keep the image information very well, and the fusion effect is good.