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FAST IMAGE ROTATION USING HYBRID INTERPOLATIONS

机译:使用混合插值进行快速图像旋转

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In this paper, we propose a fast image rotation method that uses more than one interpolation algorithm. To rotate images, interpolation algorithms are required. Generally, a simple interpolation algorithm is fast but provides limited performance while a complex interpolation algorithm requires a long processing time but provides a much better performance. However, it is observed that the differences are negligible for most pixels with major differences occurring around edges. Thus, we first apply a test in order to determine which interpolation is most appropriate for a given pixel in terms of complexity and performance. Then, a simple interpolation algorithm is used for pixels for which the simple interpolation algorithm provides acceptable performances and a complex interpolation algorithm is used for pixels for which the complex interpolation algorithm significantly outperforms the simple interpolation algorithm. Experiments show significant reduction in processing time is possible with negligible image impairments.
机译:在本文中,我们提出了一种使用多个插值算法的快速图像旋转方法。要旋转图像,需要插值算法。通常,简单的插值算法速度很快,但性能有限,而复杂的插值算法需要较长的处理时间,但性能却要好得多。然而,观察到,对于大多数像素而言,这些差异可以忽略不计,其中主要差异发生在边缘周围。因此,我们首先进行测试,以确定就复杂性和性能而言哪个插值最适合给定像素。然后,将简单插值算法用于像素,该简单插值算法可提供可接受的性能,并且将复杂插值算法用于像素,其复杂插值算法明显优于简单插值算法。实验表明,可以将处理时间显着减少,而图像损伤可以忽略不计。

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