关键词: 图像融合, 小波变换, 平均梯度, 方向对比度

Abstract: Based on the redundancy and complementarity between different images of the same scenarios, a novel algorithm of image fusion based on average grads and wavelet contrast is proposed in the area of wavelet image fusion. The input images are decomposed by wavelet transform. The high frequency absolute neighborhood mean and low frequency neighborhood mean are rationed on each highest layer of each image. The bigger ratio one corresponding high frequency wavelet coefficient is taken to corresponding wavelet coefficient. While the high frequency coefficients on other decomposition level and the low frequency coefficient are calculated by gradient. The fusion image is reconstructed by wavelet inverse transform. Quantitative and qualitative analysis of the results demonstrate higher performance of the algorithm.

Key words: image fusion, wavelet transformation, average grads, wavelet contrast