Super-sampling by learning-based super-resolution

被引:0
作者
Du, Ping [1 ]
Zhang, Jinhuan [1 ]
Long, Jun [1 ]
机构
[1] Cent South Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
texture synthesis; super-resolution; image manifold; CONVOLUTIONAL NEURAL-NETWORK; FACE RECOGNITION;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we present a novel problem of intelligent image processing, which is how to infer a finer image in terms of intensity levels for a given image. We explain the motivation for this effort and present a simple technique that makes it possible to apply the existing learning-based super-resolution methods to this new problem. As a result of the adoption of the intelligent methods, the proposed algorithm needs notably little human assistance. We also verify our algorithm experimentally in the paper.
引用
收藏
页码:249 / 257
页数:9
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