使用分层填充策略的低结构图像的快速自适应升级

S. Askar, P. Kauff, N. Brandenburg, O. Schreer
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引用次数: 7

摘要

为了加快处理时间,当算法应用于下采样图像时,需要图像升级方法。传统的图像升级技术通常会产生模糊或块状的结果,但更复杂的方法是耗时的。我们提出了一种低结构图像的自适应升级方法,该方法为全电视分辨率的图像提供了实时能力,并且由于分层填充策略而产生了清晰的非块状边缘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast adaptive upscaling of low structured images using a hierarchical filling strategy
Image upscaling approaches are required especially when algorithms are applied to subsampled images in order to speed up processing time. Conventional techniques for upscaling images yield often blurred or blocky results, but more complicated methods are time consuming. We present an adaptive upscaling approach for low structured images, which provides real time capability for images in full TV resolution and produces clear and non-blocky edges due to a hierarchical filling strategy.
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