Generating omnifocus images using graph cuts and a new focus measure

N. Xu, K. Tan, H. Arora, N. Ahuja
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引用次数: 16

Abstract

We discuss how to generate omnifocus images from a sequence of different focal setting images. We first show that the existing focus measures would encounter difficulty when detecting which frame is most focused for pixels in the regions between intensity edges and uniform areas. Then we propose a new focus measure that could be used to handle this problem. In addition, after computing focus measures for every pixel in all images, we construct a three dimensional (3D) node-capacitated graph and apply a graph cut based optimization method to estimate a spatio-focus surface that minimizes the summation of the new focus measure values on this surface. An omnifocus image can be directly generated from this minimal spatio-focus surface. Experimental results with simulated and real scenes are provided.
使用图形切割和一种新的焦点测量方法生成全焦图像
我们讨论了如何从一系列不同焦距设置的图像中生成全焦图像。我们首先表明,现有的聚焦测量方法在检测强度边缘和均匀区域之间像素的哪一帧最聚焦时会遇到困难。然后,我们提出了一种新的焦点测量方法,可以用来处理这个问题。此外,在计算所有图像中每个像素的焦点度量后,我们构建了一个三维(3D)节点容量图,并应用基于图切的优化方法来估计一个空间焦点曲面,该曲面上的新焦点度量值的总和最小。一个全聚焦图像可以直接从这个最小的空间聚焦表面生成。给出了模拟和真实场景的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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