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Fusion of Multifocus Images to Maximize Image Information

机译:融合多焦点图像以最大化图像信息

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When an image of a 3-D scene is captured, only scene parts at the focus plane appear sharp. Scene parts in front of or behind the focus plane appear blurred. In order to create an image where all scene parts appear sharp, it is necessary to capture images of the scene at different focus levels and fuse the images. In this paper, first registration of multifocus images is discussed and then an algorithm to fuse the registered images is described. The algorithm divides the image domain into uniform blocks and for each block identifies the image with the highest contrast. The images selected in this manner are then locally blended to create an image that has overall maximum contrast. Examples demonstrating registration and fusion of multifocus images are given and discussed.
机译:捕获3D场景的图像时,只有聚焦平面上的场景部分显得清晰。聚焦平面之前或之后的场景部分显得模糊。为了创建所有场景部分都显得清晰的图像,有必要在不同的聚焦水平下捕获场景图像并融合图像。本文首先讨论了多焦点图像的配准,然后描述了一种融合配准图像的算法。该算法将图像域划分为统一的块,并为每个块标识具有最高对比度的图像。然后将以这种方式选择的图像进行局部混合,以创建具有整体最大对比度的图像。给出并讨论了演示多焦点图像配准和融合的示例。

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