基于图像抠图技术的多聚焦图像融合方法

Multi-focus image fusion method based on image matting technique

针对多聚焦图像融合容易出现信息丢失、块效应明显等问题,提出了一种新的基于图像抠图技术的多聚焦图像融合算法。首先,通过聚焦检测获得源图像的聚焦信息,并根据所有源图像的聚焦信息生成融合图像的三分图,即前景、背景和未知区域;然后,利用图像抠图技术,根据三分图获得每一幅源图像的精确聚焦区域;最后,将这些聚焦区域结合起来构成融合图像的前景和背景,并根据抠图算法得到的确定前景、背景对未知区域进行最优融合,增强融合图像前景、背景与未知区域相邻像素之间的联系,实现图像融合。实验结果表明,与传统算法相比,所提算法在客观评价方面能获得更高的互信息量(MI)和边缘保持度,在主观评价方面能有效抑制块明显效应,得到更优的视觉效果。该算法可以应用到目标识别、计算机视觉等领域,以期得到更优的融合效果。

To solve the problem of information loss and obvious block effect in multi-focus image fusion, a novel multifocus image fusion method based on image matting technique was proposed. Firstly, the rough focus information of each source image was obtained by focusing measure, all of which was used to generate the trimap of the fusion image, namely,foreground, background and unknown region. Secondly, according to the trimap, the precise focus region of each source image could be gotten by using the image matting. Finally, the obtained focus regions were combined to consist of new foreground and background. And the optimal fusion of the unknown region was conducted on the basis of the foreground and background,which enhanced the correlations between the nearby pixels of the three focusing regions. The experimental results show that compared with the traditional algorithms, the proposed algorithm can acquire higher Mutual Information（ MI） and edge preservation on the objective evaluation. For the subjective evaluation, it can be seen that the block effect is obviously suppressed and the visual effect is more excellent. The proposed algorithm can be applied to the object identification and computer vision to obtain optimal fusion result.