A Subdivision-Based Image Interpolation Method on Android Platform

Zhihui Yue, Chengming Liu
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Abstract

How to satisfy the need of Android users to get high-resolution images quickly becomes a hot issue of research in recent years. We propose a new image interpolation algorithm based on the Loop subdivision. Similar to the refinement of meshes, Subdivision methods can also generate new pixels on images. In order to preserve the sharp edges, We propose a rational subdivision scheme by adjusting the weight coefficients of pixel vertices. This algorithm runs quickly and accurately on the Android platform by using Android NDK.
基于细分的Android平台图像插值方法
如何满足Android用户快速获取高分辨率图像的需求成为近年来研究的热点问题。提出了一种新的基于Loop细分的图像插值算法。与网格的细化类似,细分方法也可以在图像上生成新的像素。为了保留锐利的边缘,我们提出了一种合理的细分方案,通过调整像素顶点的权重系数。该算法使用Android NDK在Android平台上快速准确地运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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