提出了一种基于视觉特性的快速、高精度的多聚焦图像融合新算法。根据多聚焦图像的特点,采用基于视觉对比度的快速间隔块扫描算法对聚焦离焦区域在整幅图像内进行粗定位,然后在粗定位的基础上通过基于块视觉对比度的比对进行聚焦离焦区域的精确定位,并且将图像划分为3个部分:聚焦区、离焦区与边界。取两幅图像各自的聚焦区,而后将两幅图像离焦与聚焦的边界区域加权融合即得融合图像。实验结果证明,该算法与基于小波分解的融合算法和基于视觉的块分解融合算法相比不仅速度快而且效果好。

One new multifocus image fusion algorithm is proposed based on human vision system.According to the characteristics of multifocus images,one approach which can search the approximate(crude) position of focus region in images based on comparison of the contrast error of blocks every certain rows and columns is adopted,and the correct position of the focus region is confirmed based on the approximate position using the comparison of the contrast error of blocks again,then the image is divided into three parts:focus region,nonfocus region and the boundary between the focus region and nonfocus region.Take the focus regions in the two candidate images,and calculate the weighted sum of the boundares,then we can obtain the fused image.Experiments prove that the new algorithm is faster and more precise than traditional wavelet-based fusion algorithm and block-based algorithm.