首页> 外文会议>Acoustics, Speech and Signal Processing, 2007. ICASSP 2007 >Simple and Fast All-in-Focus Image Reconstruction Based on Three-Dimensional/Two-Dimensional Transform and Filtering
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Simple and Fast All-in-Focus Image Reconstruction Based on Three-Dimensional/Two-Dimensional Transform and Filtering

机译:基于三维/二维变换和滤波的简单快速全焦点图像重建

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This paper deals with all-in-focus image reconstruction by merging multiple differently focused images. We previously proposed a method of generating an all-in-focus image from multi-focus imaging sequences based on a 3-D filtering. In this paper, we first combine the sequence into a 2-D image. Just by applying a 2-D filter to the image, we realize fast reconstruction of all-in-focus images robustly. In order to reduce the cost of image acquisition, the optimal number of multiple differently focused images is also discussed. In addition, we introduce a simple estimation method utilizing the 2-D filter for the parameter of 3-D blurs. We show experimental results of fast all-in-focus image reconstruction by using synthetic and real images
机译:本文通过合并多个不同聚焦的图像来处理全聚焦图像重建。我们先前提出了一种基于3-D滤波从多焦点成像序列中生成全焦点图像的方法。在本文中,我们首先将序列组合成二维图像。仅通过对图像应用二维滤镜,我们就可以稳健地实现全焦点图像的快速重建。为了降低图像获取的成本,还讨论了多个不同聚焦图像的最佳数量。此外,我们针对3D模糊参数引入了一种简单的估算方法,该方法利用了2D滤波器。我们展示了通过使用合成图像和真实图像进行快速全焦点图像重建的实验结果

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