A novel image fusion algorithm based on wavelet transform and edge keeping method is proposed in this paper. After
DWT the image is decomposed into different frequency bands. The spatial frequency and the contrast within the
low-frequency sub-band of the image are measured to determine the best choice of low-frequency component of the
fused image. As to the high-frequency sub-band of the image, the coefficients with maximal absolute grads values are
selected. The experimental results show that the proposed algorithm can preserve most useful information of original
images, and the clarity and contrast of the fused image are improved comparing with the original images.