基于离散Tchebichef变换和聚焦评价的多聚焦图像融合方法

Multi-focus image fusion method based on discrete Tchebichef transform and focus measure

基于变换技术的图像融合是多聚焦图像融合中常采用的方法,融合效果明显,并具有较强的抗噪能力,但时间复杂度普遍较高.本文提出了一种基于离散Tchebichef变换和聚焦评价的多聚焦图像融合方法,根据离散Tchebichef多项式变换和相关分析(correlation)之间的联系,利用少量低阶离散Tchebichef多项式变换系数得到图像块的聚焦评价,然后对输入的多聚焦图像按聚焦评价最大原则进行融合.实验结果表明,该方法在保证融合效果的同时,有效地降低了融合时间,并对噪声有较强的鲁棒性.

Transform-based image fusion methods are widely used in multi-focus image fusion owing to their promising fusion effect,and their noise robustness.However,the time complexity of conventional transformbased image fusion methods is generally high.In this paper,a multi-focus image fusion method based on the discrete Tchebichef transform（DTT） and a focus measure is proposed.According to the relationship between DTT and a correlation analysis,the focus measure of image blocks in source images can be evaluated by limited low-order DTT coefficients.Hence,the source images are fused by the principle of maximum focus measure.Our experimental results show that the proposed method can reduce the fusion time while ensuring the fusion effect,and exhibit high noise robustness during image fusion.