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Image compostion based on details preserved

机译:根据细节保留图像构图

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摘要

Image composition is a attractive domain and there are some classical composition technologies. Possion composition and gradient domain are some typical and traditionnal composition technologies. Their main function is to create plausible composited image. We can use the traditional methods to get a realistic visual results. However, after the composition we found that the details is not preserved, especially for the boundary of the composited image. We use some innovative methods to deal with the problem and there are two main stages in the paper. The first stage is that we introduce the model of our filter and compare it to the other filter. The second stage is that we use the filter and image pyramid to preserve the composited image's details after the image composition, especially for the boundary.
机译:图像合成是一个有吸引力的领域,并且有一些经典的合成技术。位置合成和梯度域是一些典型的传统合成技术。它们的主要功能是创建合理的合成图像。我们可以使用传统方法来获得逼真的视觉效果。但是,在合成之后,我们发现没有保留细节,尤其是对于合成图像的边界。我们使用一些创新的方法来解决该问题,并且本文分为两个主要阶段。第一阶段是介绍过滤器的模型并将其与其他过滤器进行比较。第二阶段是我们使用滤镜和图像金字塔在图像合成后,尤其是在边界之后,保留合成图像的细节。

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