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Image Enlargement Using Repetitive Component Multiplication

机译:使用重复分量乘法的图像放大

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Efficient and effective image enlargement without distortion attracts numerous interests these days. This paper presents an image enlargement system for images with repetitive components. Based on repetitive components and seam filling, our system achieves distortion-free visual effect. Our system captures and extracts the repetitive components by MSERs. After which, we got the repetitive component (RC) regions and non-repetitive component (NRC) regions. In order to deal with the different characteristics of these two regions, we intuitively incorporated two different algorithms: patch-based texture synthesis for RC regions and in painting for NRC regions. To achieve seamlessness filling, we lastly smooth the boundary between the filled regions and its surroundings by multi-resolution. Our system shows great success in enlarging image with repetitive components.
机译:在没有失真的情况下,有效且有效的图像增大这些天可能会吸引许多兴趣。本文介绍了具有重复组件的图像的图像放大系统。基于重复组件和缝填充,我们的系统实现了无失真的视觉效果。我们的系统通过MSERS捕获并提取重复组件。之后,我们得到了重复组分(RC)区域和非重复组分(NRC)区域。为了处理这两个区域的不同特征,我们直观地掺入了两个不同的算法:基于补丁的纹理合成RC区和NRC区域的绘画。为了实现无缝性填充,我们非常顺利地通过多分辨率平滑填充区域与周围环境之间的边界。我们的系统在扩大重复组件的情况下显示出巨大成功。

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