基于可控滤波器和空间频率的图像融合算法

Image fusion algorithm based on steerable filters and spatial frequency

对像素级图像融合进行研究,提出一种基于可控滤波器和空间频率的多聚焦图像融合算法。利用可控滤波器处理源图像,得到源图像在不同方向上的解析图像,计算并比较方向解析图像的局部空间频率,得到源图像的方向解析空间频率谱,通过融合规则选取源图像中的像素构成融合图像。实验结果表明,与传统融合算法相比较,该算法在主观评价与客观质量评价方面都具有一定优势。

A multi-focus image fusion algorithm based on steerable filters and spatial frequency was proposed by researching of the pixel-level image fusion.Steerable filters were used to filter the original image to obtain the oriented analytic image in different directions.To obtain the oriented analytic spatial frequency map,the local spatial frequency of each oriented analytic image was calculated and compared.The fusion result image was generated with pixels which were selected form original images according to the fusion rule.Experimental results show that,compared with the results of other fusion algorithms,the proposed algorithm has certain advantages in the subjective evaluation and objective evaluation indicators.