A novel framework for multi-focus image fusion

G. Bhatnagar, Q.M. Jonathan Wu
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Abstract

One of the foremost requisite for human perception and computer vision task is to get an image with all objects in focus. The image fusion process, as one of the solutions, allows getting a clear fused image from several images acquired with different focus levels of a scene. In this paper, a novel framework for multi-focus image fusion is proposed, which is computationally simple since it realizes only in the spatial domain. The proposed framework is based on the fractal dimensions of the images into the fusion process. The extensive experiments on different multi-focus image sets demonstrate that it is consistently superior to the conventional image fusion methods in terms of visual and quantitative evaluations.
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一种新的多焦点图像融合框架
人类感知和计算机视觉任务的首要条件之一是获得所有物体聚焦的图像。图像融合处理作为一种解决方案,可以从一个场景的不同焦点级别获取的多幅图像中获得清晰的融合图像。本文提出了一种新的多焦点图像融合框架,该框架只在空间域中实现,计算简单。所提出的框架是基于分形维数对图像进行融合处理。在不同多焦点图像集上的大量实验表明,该方法在视觉和定量评价方面始终优于传统的图像融合方法。
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