基于分块最优位置的多焦点图像融合

Ahmet Nusret Toprak, V. Aslantaş
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引用次数: 1

摘要

由于所涉及的光学性质,数字成像系统受到景深的限制。因此,当一个物体在聚焦平面上时,它会出现在焦点上,而当它偏离聚焦平面时,它会出现模糊。因此,在单幅图像中,只有景深范围内的部分平面是清晰的,而其余区域是模糊的。为了克服这个问题,通过逐渐移动焦平面来拍摄一系列多焦图像。然后,通过多焦点图像融合过程将所有聚焦区域合并在一起,生成场景的全聚焦图像。本文提出了一种新的多焦点图像融合方法,该方法考虑源图像的锐利区域,将块放置在最优位置。实验结果表明,该方法能有效地融合多焦点源图像,扩展景深。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fusion of Multi-focus Image by Blocks Optimal Positions
Digital imaging systems suffer from limited depth of field due to the nature of the optics involved. As a consequence, an object will appear in focus when it is on the focus plane and will appear blurred as it deviates from the focus plane. Therefore, in a single image only part of the plane within the depth of field can be sharp, while the rest areas are blurred. To overcome this problem, a series of multi-focus images are taken by gradually moving the focal plane. Then, all the in-focus regions are merged together through a process called multi-focus image fusion to generate an all-in-focus image of the scene. In this paper, a novel multi-focus image fusion method based on placing the blocks in the optimal positions considering sharp regions of source images. The experimental results show that the proposed method can fuse the multi-focus source images and extend the depth of field efficiently.
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