基于梯度和能量的图像融合算法

Image Fusion Based on Gradient and Energy

针对梯度算法在图像融合的过程中往往只考虑图像高频信息的变化程度,忽略了高频信息的丰富程度而造成融合结果的信息量损失这一问题,在小波变换的基础上提出了一种新型的基于梯度和能量的图像融合算法.算法兼顾高频分量的变化和高频分量丰富程度,有效地保证图像的信息量.当两幅图像高频系数变化较大时,采用梯度取大决策;当两幅图像的高频系数变化较小时,采用图像高频信息的丰富程度(能量)取大决策.实验证明了该算法的有效性.

Algorithms based on gradient for image fusion only consider high-frequency information changes of the images, and neglect the richness of high-frequency information. To solve this problem, the new kind of image fusion algorithm based on gradient and energy is proposed in this article. The algorithm on this paper takes into account the changes in high-frequency information and the richness of high-frequency information, and effectively guarantees the richness of image information. When the two images change in the larger high- frequency coefficients, we use gradient for decision-making. When the two images of the high-frequency coefficients changed little, we use energy of the high-frequency rithm presentel in this paper ensures information of fused for decision-making. Experiments show that the algo- images well.