基于小波分解和进化策略的图像融合方法

提出了一种基于小波分解和进化策略相结合的多聚焦图像融合方法。该方法首先对不同聚焦点图像进行无下采小波分解,并分别将其各方向、各尺度的高频信息进行叠加,然后依据它们在高频信息叠加层上对应的局部区域能量的差异,采用进化策略进行区域划分,进而实现分区域融合。实验结果表明所提出的方法比小波变换法具有更好的融合效果。

Image Fusion Based on Wavelet Decomposition and Evolutionary Strategy

A new method is developed to merge two spatially registered images with differing focus points based on multi-resolution wavelet decomposition and evolutionary strategy. At first, the wavelet decomposition without down-sampling is used to perform an adding of wavelet decomposition components of each image. Then, in terms of differences of area-based energy feature in two original images, evolutionary strategy is adopted to divide the region and perform the fusion. The experimental results show that the proposed method can achieve better fusion performance than wavelet transform method.