关键词: 图像融合, 提升小波变换, 差值传播, 方向特性, 融合规则

Abstract: The neighboring relation of low-frequency wavelet coefficients and the directional characteristic of the high-frequency coefficients is discussed and analyzed， then， a novel image fusion algorithm based on directional spread of wavelet coefficients’ differences is proposed. At first， for every coefficient of the high-frequency， the algorithm of this paper makes out the fusing coefficient by using the directional templates to gain the wavelet coefficients’ difference. Then， for every coefficient of the low-frequency， the algorithm of this paper makes out the fusing coefficient by using the variance. At last， the fused image is obtained through the reversely lifting wavelet transformation. Entropy and Average grads are used to judge the results of the proposed algorithms. Experimental results show that the proposed method is more outstanding than the conventional methods， and it has some application value.

Key words: image fusion, lifting wavelet transformation, difference spread, directional characteristic, fusion rule