使用代数多重网格进行多聚焦图像融合

针对将代数多重网格对图像结构信息的提取能力应用到图像的融合方面进行了研究,提出了一种基于代数多重网格的自适应多聚焦图像融合算法。首先提取图像的粗网格数据,然后进行分块重建,根据分块重建结果与原始图像的均方差选择合适的源图像分块进入融合图像。为了避免分块之间的不连续性,采用了自适应的策略。实验结果表明,自适应图像融合的结果没有丢失有效信息,能够最大程度地将清晰物体保留在融合图像之中。

Research on Multi-Focus Image Fusion Algorithm Based on Algebraic Multigrid Method

An adaptive multi-focus image fusion algorithm based on algebraic multigrid (AMG) method is proposed for the capability to extract structural information of an image. The data of the coarse level is extracted to reconstruct the image block, appropriate source image block is selected into the fusion result according to the mean square error between the reconstructed image block and the original image block. For smoothing the fused result, an adaptive strategy is used. Experimental results show that most of the clear objects can be retained in the fused image with the proposed algorithm without loss of effective information.