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首页> 外文期刊>Computer Graphics Forum: Journal of the European Association for Computer Graphics >Image Interpolation by Pixel-Level Data-Dependent Triangulation
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Image Interpolation by Pixel-Level Data-Dependent Triangulation

机译:通过像素级数据相关三角剖分的图像插值

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摘要

We present a novel image interpolation algorithm. The algorithm can be used in arbitrary resolution enhancement, arbitrary rotation and other applications of still images in continuous space. High-resolution images are interpolated from the pixel-level data-dependent triangulation of lower-resolution images. It is simpler than other methods and is adaptable to a variety of image manipulations. Experimental results show that the new "mesh image" algorithm is as fast as the bilinear interpolation method. We assess the interpolated images' quality visually and also by the MSE measure which shows our method generates results comparable in quality to slower established methods. We also implement our method in graphics card hardware using OpenGL which leads to real-time high-quality image reconstruction. These features give it the potential to be used in gaming and image-processing applications.
机译:我们提出了一种新颖的图像插值算法。该算法可用于任意分辨率增强,任意旋转以及连续空间中静止图像的其他应用。从低分辨率图像的像素级数据相关三角剖分中插入高分辨率图像。它比其他方法更简单,并且适用于各种图像处理。实验结果表明,新的“网格图像”算法与双线性插值方法一样快。我们通过视觉和MSE评估来评估插值图像的质量,这表明我们的方法所产生的结果在质量上与较慢的方法相当。我们还使用OpenGL在图形卡硬件中实现我们的方法,从而实现了实时高质量图像重建。这些功能使其具有在游戏和图像处理应用中使用的潜力。

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