关键词: 空间频率, 对比度, 熵, 图像融合, 小波变换

Abstract: An image fusion algorithm based on wavelet transform is proposed in this paper. The image is decomposed into high-frequency image and low-frequency image. The spatial frequency and the contrast within the low-frequency image is measured to determine the fused low-frequency image. To the high-frequency image, we select these that have maximal absolute values and verify the consistency of these coefficients. The experimental results show that this algorithm can preserve all useful information from primitive images and that the clarity and contrast of the fused image are improved. The presented algorithm is verified effective for image fusion.

Key words: spatial frequency, contrast, entropy, image fusion, wavelet transform