商业产品超分辨率图像重建的局限性

S. Gohshi
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引用次数: 0

摘要

超分辨率(SR)是一种提高图像分辨率的技术。大多数SR算法都很复杂,需要迭代。最近的商业产品,如高清电视机、蓝光播放器和数码相机,都配备了一种称为超分辨率图像重建(SRR)的SR技术。SRR算法有严格的约束条件,需要精确的运动矢量检测。在需要实时工作的高清电视机中使用SRR并不容易。特别是,由于高清电视内容是运动图像,因此具有运动模糊。运动模糊降低了分辨率,使运动矢量难以准确检测。然而,尽管存在这些明显的问题,在商业产品中使用SRR的局限性尚未得到解决。本文讨论了这些局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Limitations of super resolution image reconstruction for commercial products
Super Resolution (SR) is technology that improves the resolution of an image. Most SR algorithms are complex and need iterations. Recent commercial products such as HDTV sets, BluRay players, and digital cameras are equipped with an SR technology called super resolution image reconstruction (SRR). SRR algorithms have strict constraint conditions and require precise motion vector detection. It is not easy to use SRR in HDTV sets that have to work in real time. In particular, HDTV content has motion blur since it is a moving image. The motion blur reduces resolution and makes it difficult to detect motion vectors accurately. Yet despite these obvious problems, the limitations of using SRR in commercial products have not been addressed. This paper discusses those limitations.
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