文章基本信息

标题：Single Image Super Resolution : A Comparative Study
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作者：Aliaa Youssef ; Sameh Zarif ; Amr Ghoneim 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2017
卷号：7
期号：2
页码：139-147
DOI：10.5121/csit.2017.70213
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The majority of applications requiring high resolution images to derive and analyze dataaccurately and easily. Image super resolution is playing an effective role in those applications.Image super resolution is the process of producing high resolution image from low resolutionimage. In this paper, we study various image super resolution techniques with respect to thequality of results and processing time. This comparative study introduces a comparison betweenfour algorithms of single image super-resolution. For fair comparison, the compared algorithmsare tested on the same dataset and same platform to show the major advantages of one over theothers.
关键词：Super resolution; Interpolation; Neighbour filling; Resizing; Low resolution